Pregnancy during the year
Record written for Parity against synthetic measure QM-CBP. Pregnancy excludes even where the hypertension event and control are both clean.
Field mean
98.8
across 28 models
Models scoring 100
27
of 28
Models scoring 0
0
of 28
What the model was given
MEASURE QM-CBP — BLOOD PRESSURE CONTROL IN HYPERTENSION
Measurement year: 2026-01-01 through 2026-12-31.
ELIGIBLE POPULATION (denominator)
Age: 18 through 85 years as of 2026-12-31.
Event: at least one outpatient encounter with a hypertension diagnosis (I10)
on or between 2026-01-01 and 2026-06-30. An encounter after 2026-06-30 does
not establish the event.
Continuous enrolment: enrolled for the full measurement year with no more than
one gap of up to 45 days. A gap longer than 45 days, or two or more gaps of
any length, removes the member from the denominator.
NUMERATOR
The most recent outpatient blood pressure reading taken on or after the date of
the qualifying hypertension encounter and on or before 2026-12-31 is below
140 systolic AND below 90 diastolic. Both components must be below the
threshold. A reading taken in an emergency department or on an inpatient
admission does not count and is skipped when identifying the most recent
reading. If no qualifying reading exists, the member is in the denominator and
not in the numerator.
REQUIRED EXCLUSIONS (remove from the denominator before scoring)
E1. End stage renal disease (N18.6) or dependence on renal dialysis (Z99.2) any
time on or before 2026-12-31.
E2. Pregnancy (any O00-O9A code) during the measurement year.
E3. Enrolled in hospice or receiving palliative care at any time during the
measurement year.
E4. Died during the measurement year.MEMBER RECORD
MEMBER 40120. Date of birth 1994-05-30. Female.
Enrolment: 2026-01-01 through 2026-12-31, continuous.
Encounters and results:
2026-02-24 Office visit, diagnosis I10. BP 144/92.
2026-06-16 Obstetric visit, diagnosis O09.291. Pregnancy confirmed.
2026-10-28 Office visit, diagnosis I10. BP 126/76.
No hospice, no dialysis. Member alive at year end.json{
"kind": "fields",
"fields": {
"status": "excluded"
}
}Every model's answer
Sorted by score. Open a row for the response and, where the vendor exposes it, the reasoning behind it.
100Claude Fable 5.1 · Anthropic5.8s · 72 out | 3.4s · 94 out | 8.4s · 72 out
json{"status":"excluded","reason":"Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets required exclusion E2, removing the member from the denominator."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Exclusion E2 applies: pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year removes the member from the denominator despite the controlled 2026-10-28 reading."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{"status":"excluded","reason":"Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets required exclusion E2, removing the member from the denominator."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Gemini 3.7 Flash · Google2.8s · 335 out | 4.5s · 360 out | 3.9s · 500 out
Reasoning · 275 tokens
**Reviewing Enrollment Data**
My current focus is on processing the member's enrollment details for 2026. I've confirmed their date of birth falls within the eligible age range and that their enrollment is continuous throughout the year. The office visit on February 24th is within the specified observation period, satisfying the denominator criteria. I'm now cross-referencing to ensure no exclusion criteria are met.
json{
"status": "excluded",
"reason": "The member is excluded under E2 due to a pregnancy diagnosis (O09.291) on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 299 tokens
**Assessing Patient Eligibility**
I'm focusing on the QM-CBP measure, specifically evaluating a member's eligibility. They were born in 1994, making them 32 by the end of 2026, well within the 18-85 age range. Their enrollment is continuous, and they had an office visit for hypertension in February 2026.
json{
"status": "excluded",
"reason": "The member is excluded under criterion E2 due to a pregnancy diagnosis (O09.291) on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 440 tokens
**Evaluating Member 40120**
I'm currently processing the eligibility for Member 40120 for the QM-CBP measure in 2026. Initial checks confirm their age falls within the eligible range. The next step is to confirm continuous enrollment throughout the measurement year.
json{
"status": "excluded",
"reason": "The member meets exclusion criterion E2 due to a pregnancy diagnosis (O09.291) during the measurement year on 2026-06-16."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100GPT-5.5 · OpenAI2.8s · 106 out | 2.4s · 126 out | 3.0s · 105 out
json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 is a required exclusion during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 requires exclusion from the denominator."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 61 tokens
**Structuring answer keys**
I need to focus on the essential JSON keys for the answer, including "status" and "reason." The QM-CBP shouldn't have extras, and I should apply exclusions before the numerator. I also see that the member's age is 32, and there's a continuous enrollment. There's an exclusion for pregnancy with the code O09.291 during the MY. Lastly, I need to ensure that the status is marked as excluded, even if the BP is controlled, while keeping the reason concise at under 30 words.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 is a required exclusion."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100GPT-5.6 Sol · OpenAI1.1s · 43 out | 1.6s · 43 out | 1.2s · 43 out
json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Grok 4.6 · xAI8.3s · 497 out | 11.2s · 740 out | 6.4s · 408 out
Reasoning · 453 tokens
The task is about quality measure logic for QM-CBP — Blood Pressure Control in Hypertension.
{
"status": "excluded",
"reason": "Pregnancy diagnosed on 2026-06-16 (O09.json{
"status": "excluded",
"reason": "Pregnancy with O09.291 on 2026-06-16 during the measurement year meets required exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 696 tokens
The task is about quality measure logic for QM-CBP — Blood Pressure Control in Hypertension.
{
"status": "excluded",
"reason": "Pregnancy during the measurement year (O09.json{
"status": "excluded",
"reason": "Pregnancy exclusion E2 applies due to O09.291 on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 373 tokens
The task is about quality measure logic for QM-CBP — Blood Pressure Control in Hypertension.
json{"status": "excluded", "reason": "Pregnancy coded O09.291 on 2026-06-16 meets required exclusion E2."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Grok 4.5 · xAI4.1s · 235 out | 4.6s · 307 out | 4.7s · 302 out
Reasoning · 192 tokens
The member is female, DOB 1994-05-30. As of 2026-12-31, she is 32 years old, which is within 18-85.
json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 268 tokens
The member is being evaluated for QM-CBP — Blood Pressure Control in Hypertension.
json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 259 tokens
The member is being evaluated against QM-CBP measure.
json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Gemini 3.1 Pro · Google8.5s · 701 out | 8.8s · 792 out | 6.6s · 444 out
Reasoning · 644 tokens
**My Thought Process on Member Exclusion for QM-CBP**
Alright, let's walk through how I determined this member's status for the QM-CBP measure. My primary goal is to ascertain if they qualify for inclusion in the denominator and then check for any specific exclusions that would render them out of scope.
First, I looked at the member's foundational data. Their date of birth is 1994-05-30. Calculating their age as of the end of the measurement year, 2026-12-31, I see they'll be 32. This clearly falls within the required age range of 18-85, so that criterion is met.
Next, I verified their enrollment. The member was enrolled continuously from 2026-01-01 through 2026-12-31. This aligns perfectly with the enrollment criteria, so that's also a "met."
Then, I examined the event criteria. There was an outpatient encounter on 2026-02-24 with a diagnosis of I10. This date falls squarely within the relevant period of 2026-01-01 and 2026-06-30. So, the member indeed has a qualifying event and is therefore placed in the denominator for further review.
Now comes the critical part: checking for exclusions. The measure specifically lists two exclusions, E1 and E2.
For E1, I checked for any indication of End-Stage Renal Disease (ESRD) or dialysis. I found no such information, so this exclusion does not apply.
For E2, I needed to identify if the member had a pregnancy during the measurement year, which is defined by any diagnosis falling within the O00-O9A code range. My review uncovered an encounter on 2026-06-16 with the diagnosis code O09.291. My internal knowledge base confirms that O09.291, "Obstetric visit... Pregnancy confirmed," indeed falls within the O00-O9A range. This is because the O00-O9A range encompasses all ICD-10 codes starting with 'O' up to 'O9A', which logically includes all sub-codes like O09. Therefore, the member unequivocally meets the criteria for exclusion E2.
Since the member meets exclusion E2, their status for this measure is definitively "excluded." The precise reason for this exclusion is the pregnancy diagnosis.
I then considered if there were any QM-FUM specific fields that might influence this, but confirmed the measure is QM-CBP, so those wouldn't apply.
Finally, I structured the output according to the required JSON format. The "status" is "excluded." For the "reason," I needed a concise, single sentence under 30 words that highlights the decisive factor. I formulated it as: "Member is excluded due to a pregnancy diagnosis (O09.291) during the measurement year on 2026-06-16." This is 16 words, clearly identifies the diagnosis and the date it occurred, and accurately reflects the exclusion criterion.
I've double-checked the age calculation, the event timing, enrollment continuity, and critically, the pregnancy exclusion with its specific ICD-10 code and date. Everything aligns, and the JSON structure is correct with no extraneous fields. The process is complete.
json{
"status": "excluded",
"reason": "The member is excluded due to a pregnancy diagnosis (O09.291) during the measurement year on 2026-06-16."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 736 tokens
**My Thought Process on Member Eligibility**
Alright, let's break down this member's eligibility for the QM-CBP measure.
First, I'm looking at the member's date of birth, 1994-05-30. This means by the end of the measurement year, 2026-12-31, they'll be 32 years old. This falls perfectly within the eligible age range of 18 to 85, so that's good.
Next, the event criterion. The member had an outpatient encounter on 2026-02-24 with diagnosis I10. This date is indeed within the specified window of 2026-01-01 to 2026-06-30, so the event criterion is met.
Then, continuous enrollment. The member was continuously enrolled from 2026-01-01 through 2026-12-31. This also checks out.
Now, the critical part: the exclusions. I need to be meticulous here. The prompt specifies a pregnancy exclusion (E2): "Pregnancy (any O00-O9A code) during the measurement year." I see that this member had an obstetric visit on 2026-06-16 with diagnosis code O09.291. A quick check confirms that O09.291 falls squarely within the O00-O9A range. This means the pregnancy exclusion (E2) is triggered.
Because this exclusion is met, the member is definitively "excluded."
Now, I'm thinking about the required JSON output. The prompt clearly states that for QM-CBP, I only need the keys "status" and "reason." Unlike QM-FUM, I don't need to worry about "met_7_day" or "met_30_day" boolean flags.
The "reason" field has a specific constraint: it must be a single sentence, under 30 words, and identify the exact criterion or date that made the decision. I've crafted the reason to be: "Member is excluded due to a pregnancy diagnosis code O09.291 on 2026-06-16 during the measurement year." This is 17 words, a single sentence, and pinpoints the specific diagnosis code and date that led to the exclusion.
So, to recap the final output: the "status" is "excluded," and the "reason" precisely reflects why.
My final JSON structure will be:
```json
{
"status": "excluded",
"reason": "The member is excluded due to a pregnancy diagnosis code O09.291 on 2026-06-16 during the measurement year."
}
```
Everything seems to align with the requirements.
json{
"status": "excluded",
"reason": "The member is excluded due to a pregnancy diagnosis code O09.291 on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 398 tokens
**My Thought Process on Evaluating the QM-CBP Measure for This Member**
Alright, let's walk through how I'm assessing this member against the QM-CBP measure. The primary goal here is to determine if they qualify for inclusion in the denominator for Blood Pressure Control in Hypertension for the 2026 measurement year, which runs from January 1st, 2026, to December 31st, 2026.
First, I need to confirm they meet the basic demographic and enrollment criteria. The member's date of birth is May 30th, 1994. As of the end of the measurement year, December 31st, 2026, they would be 32 years old (2026 - 1994 = 32). This clearly falls within the age range of 18 to 85, so that's good. Regarding enrollment, they were continuously enrolled from January 1st, 2026, through December 31st, 2026, which satisfies the continuous enrollment requirement for the entire measurement year.
Now, let's look at the actual "event" that would trigger inclusion in the measure. I see a record of an office visit on February 24th, 2026, with a diagnosis of I10 (Essential hypertension). The blood pressure recorded was 144/92. Crucially, this visit occurred between January 1st, 2026, and June 30th, 2026, which is the required timeframe for the qualifying event. So, on the surface, this member seems to be on track for inclusion.
However, the real critical part of these measures is always the exclusions. I need to meticulously check each exclusion criterion. There are two common ones I'm looking for: ESRD/dialysis (E1) and pregnancy (E2).
For E1, I don't see any indication of End-Stage Renal Disease or dialysis in the provided information, so that exclusion doesn't apply.
Now, for E2: pregnancy. I'm scanning for any diagnosis codes within the O00-O9A range during the measurement year. And yes, I found one: on June 16th, 2026, there was an obstetric visit with a diagnosis of O09.291. This code, "Supervision of high-risk pregnancy with other high-risk, first trimester," falls squarely within the O00-O9A range. This means the member was pregnant during the measurement year.
Given that a pregnancy exclusion is explicitly defined within the measure, and this member clearly meets that criterion with the O09.291 diagnosis, they are therefore excluded from the denominator. My final output will reflect this exclusion and the specific reason. It will be a concise statement, something along the lines of "Member meets the pregnancy exclusion due to the O09.291 diagnosis on 2026-06-16," keeping it under the 30-word limit.
json{
"status": "excluded",
"reason": "The member is excluded because they had a pregnancy diagnosis (O09.291) during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Claude Opus 5 · Anthropic2.1s · 103 out | 2.0s · 103 out | 1010.7s · 90 out
json{
"status": "excluded",
"reason": "Exclusion E2: pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year removes the member from the denominator."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Exclusion E2: pregnancy diagnosis O09.291 recorded at the 2026-06-16 obstetric visit during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{"status":"excluded","reason":"Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets required exclusion E2."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Gemini 3 Flash · Google10.2s · 1,304 out | 9.8s · 1,086 out | 14.8s · 1,846 out
Reasoning · 1,246 tokens
**My Thought Process on Member Exclusion for QM-CBP**
My primary task here is to determine the status of a specific member, ID 40120, for the QM-CBP (Blood Pressure Control in Hypertension) measure during the 2026 measurement year. This involves a systematic evaluation against the measure's criteria, starting with eligibility and then progressively checking for exclusions.
First, I confirmed the member's basic demographics. The member was born on May 30, 1994. As of December 31, 2026, they would be 32 years old. This falls squarely within the eligible age range of 18-85 for this measure, so age eligibility is met.
Next, I assessed the denominator criteria. For QM-CBP, the member needs a diagnosis of hypertension (ICD-10 code I10) on or between January 1, 2026, and June 30, 2026. I found a record of an office visit on February 24, 2026, where diagnosis I10 was recorded. This perfectly matches the requirement, so the member meets the denominator entry condition. Additionally, continuous enrollment from January 1, 2026, to December 31, 2026, is also a prerequisite. The data confirms this member was continuously enrolled throughout the entire measurement year.
With the denominator criteria met, my next crucial step was to rigorously check for any exclusions. The measure defines several exclusion criteria (E1 through E4). I examined each:
* **E1: ESRD (N18.6) or Dialysis (Z99.2).** No records indicating End-Stage Renal Disease or dialysis were found for this member during the measurement year.
* **E2: Pregnancy (O00-O9A) during 2026.** This is where my attention was drawn. I found a record of an obstetric visit on June 16, 2026, with a diagnosis of O09.291, which is "Supervision of high-risk pregnancy." Upon reviewing the ICD-10 codes, O09.291 clearly falls within the specified O00-O9A range, which encompasses all pregnancies, childbirth, and the puerperium. This is a definitive trigger for exclusion E2.
* **E3: Hospice or Palliative Care.** No records indicated that the member received hospice or palliative care during 2026.
* **E4: Death during 2026.** The member was alive at the end of the measurement year.
Given that exclusion E2 (pregnancy) was met due to the diagnosis O09.291 on June 16, 2026, this overrides all other considerations for this specific measure. The protocol dictates that exclusions are evaluated first and take precedence. Therefore, even though the member's latest blood pressure reading (126/76 on October 28, 2026) would have been compliant had they not been excluded, the pregnancy diagnosis makes them ineligible for this measure.
My final conclusion is that the member is "excluded" from the QM-CBP measure. The specific reason for this exclusion is the presence of a pregnancy diagnosis (O09.291) during the measurement year, which is a defined exclusion criterion. I've re-verified that the O00-O9A range correctly includes the identified diagnosis and that all other eligibility and exclusion checks were performed accurately. I also noted that the QM-FUM specific keys are not applicable here, as this is QM-CBP. The reason statement is concise and accurately reflects the situation.
json{
"status": "excluded",
"reason": "The member is excluded because they had a pregnancy diagnosis (O09.291) during the measurement year on 2026-06-16."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 1,029 tokens
**My Thought Process on the QM-CBP Measure for Member 40120**
Alright, let's break down this QM-CBP (Blood Pressure Control in Hypertension) measurement for member 40120. I'm looking at the 2026 measurement year, which runs from January 1st to December 31st.
First, I need to confirm the member's eligibility and if they fall within the target age range. The member was born on May 30th, 1994. By the end of the measurement year, December 31st, 2026, they will be 32 years old (2026 - 1994 = 32). This is well within the 18-85 age range specified for this measure, so that's a check. They also have continuous enrollment for the entire measurement year, from January 1st to December 31st, 2026, so no enrollment gaps to worry about.
Next, I need to identify the denominator event. For this measure, that's an outpatient encounter with a diagnosis of I10 (Essential hypertension) between January 1st, 2026, and June 30th, 2026. I see an office visit on February 24th, 2026, with diagnosis I10. Perfect, this member meets the denominator criteria.
Now for the numerator: the most recent blood pressure reading on or after that qualifying encounter (February 24th, 2026) and on or before December 31st, 2026, needs to be less than 140/90. I have two readings to consider: one on February 24th, 2026, with a BP of 144/92. This is *after* the qualifying encounter, but it's not the most recent. Then, there's a reading on October 28th, 2026, with a BP of 126/76. This is the most recent outpatient reading. Comparing 126/76 to the target of < 140/90, both the systolic (126) and diastolic (76) values are within the goal. So, based on the numerator, the member *should* have been controlled.
However, before declaring success, I absolutely must check for any exclusions. The exclusions are listed as E1 (ESRD/Dialysis), E2 (Pregnancy), E3 (Hospice/Palliative), and E4 (Deceased).
* **E1 (ESRD/Dialysis):** I don't see any indication of this.
* **E3 (Hospice/Palliative):** No evidence here either.
* **E4 (Deceased):** The member is clearly alive and had encounters, so not deceased.
* **E2 (Pregnancy):** This is where things get interesting. I notice an obstetric visit on June 16th, 2026, with a diagnosis of O09.291. My internal knowledge base immediately flags this as a potential issue. I need to confirm if O09.291 falls within the "pregnancy code" range specified in the measure, which is O00-O9A. A quick check confirms that the ICD-10-CM codes for Pregnancy, Childbirth and the Puerperium are indeed in the O00-O9A range. O09 specifically covers "Supervision of high risk pregnancy," and O09.291 is "Supervision of high risk pregnancy due to other social problems, first trimester." This is unequivocally within the O00-O9A range.
The measure clearly states: "E2. Pregnancy (any O00-O9A code) during the measurement year." Since this member had a diagnosis falling squarely within that range during the 2026 measurement year, they are excluded. It's crucial to remember that exclusions are evaluated *before* the numerator is even considered for met status.
Therefore, despite meeting the age, continuous enrollment, denominator event, and even the numerator requirements based on BP readings, the presence of a pregnancy diagnosis during the measurement year leads to the final status: **excluded**. The reason is explicitly the pregnancy diagnosis (O09.291) on June 16th, 2026, within the measurement year. This confirms my initial check and finalizes the assessment.
json{
"status": "excluded",
"reason": "The member is excluded due to a pregnancy diagnosis (O09.291) on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 1,788 tokens
**My Thought Process on Member 40120 for QM-CBP Measurement**
Alright, let's break down my reasoning for member 40120 concerning the QM-CBP (Blood Pressure Control in Hypertension) measure for the 2026 measurement year.
First, I'm verifying the fundamental eligibility for the measure itself.
* The measure is QM-CBP, and the measurement period is January 1, 2026, through December 31, 2026.
* We have member 40120, born on May 30, 1994. By the end of 2026, they'll be 32 years old. This falls squarely within the eligible age range of 18 to 85.
* Crucially, the member has continuous enrollment throughout the entire measurement year (January 1, 2026, to December 31, 2026), so no gaps there. This means they are a potential candidate for inclusion in the denominator.
Next, I'm checking for the qualifying event to place them *in* the denominator.
* The criteria state at least one outpatient encounter with a diagnosis of hypertension (ICD-10 code I10) between January 1, 2026, and June 30, 2026.
* Looking at the member's encounters, I see one on February 24, 2026: an office visit with diagnosis I10. This perfectly matches the criteria and the required timeframe. So, yes, this member belongs in the denominator.
Now, the critical part: evaluating exclusions. This is where a member, even if in the denominator, might be removed from the assessment of compliance. I'm looking at the exclusion criteria systematically:
* **E1: ESRD (N18.6) or dialysis (Z99.2).** I check the member's record for any indication of End-Stage Renal Disease or dialysis. There's none. They are not on hospice either, which is often a related exclusion. So, E1 is not met.
* **E2: Pregnancy (any O00-O9A code) during the measurement year.** This is a significant one. I scan the encounters for any pregnancy-related codes within the entire 2026 measurement year. Bingo. On June 16, 2026, there's an obstetric visit with the diagnosis O09.291. I confirm that O09.291 falls within the specified ICD-10 code range of O00-O9A. Pregnancy codes, like O09, are indeed part of that comprehensive range. So, exclusion E2 *is* met.
* **E3: Hospice/Palliative care.** Checked again, and there's no indication of hospice or palliative care. E3 is not met.
* **E4: Died.** The member is alive at the end of the measurement year. E4 is not met.
Since exclusion E2 has been met – the member had a confirmed pregnancy diagnosis (O09.291) during the 2026 measurement year – I know the outcome for this member.
The process dictates that exclusions are evaluated *before* numerator compliance. Because the member meets an exclusion criterion (E2), they are removed from the denominator. Therefore, their status is "excluded."
I also note that the specific keys "met_7_day" and "met_30_day" are not relevant here. My understanding is that these are specific to the QM-FUM (Frequency of Uncontrolled Hypertension Management) measure and not QM-CBP.
To recap my logic:
1. **Eligibility:** Member is eligible by age and continuous enrollment.
2. **Denominator Entry:** Member enters the denominator due to an I10 diagnosis on February 24, 2026, within the specified timeframe.
3. **Exclusion Check:** The member meets exclusion E2 due to a pregnancy diagnosis (O09.291) on June 16, 2026.
4. **Status Determination:** Because an exclusion is met, the member's status is "excluded." They are removed from the denominator for compliance assessment. The rules are clear: a member who meets an exclusion is "excluded," not "compliant," even if they might have otherwise met numerator requirements.
My final determination is that the member is **excluded**. The reasoning is direct and unambiguous: "The member had a pregnancy diagnosis (O09.291) on 2026-06-16, meeting the exclusion criteria for the measurement year." This accurately reflects the condition identified. I've also confirmed that the "excluded" status correctly applies when a member is in the denominator but meets an exclusion, and it's not a case of being "not\_eligible" from the outset. And since this is QM-CBP, I don't need to add any extra keys related to QM-FUM.
json{
"status": "excluded",
"reason": "The member is excluded due to a pregnancy diagnosis (O09.291) recorded on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Kimi K3 · Moonshot14.4s · 277 out | 24.6s · 218 out | 7.8s · 200 out
Reasoning · 205 tokens
Member 40120: DOB 1994-05-30, female. Age as of 2026-12-31: 2026-12-31 - 1994-05-30 = 32 years. In 18-85, eligible age.
Event: 2026-02-24 office visit with I10 — qualifying hypertension encounter before 2026-06-30. In denominator.
Continuous enrolment: full year, no gaps. OK.
Exclusions evaluated before numerator: E2 pregnancy during measurement year — O09.291 on 2026-06-16. Excluded.
Status: excluded. Reason: pregnancy code O09.291 on 2026-06-16 (E2).
Numerator would be met (126/76 on 2026-10-28, after qualifying encounter, outpatient, below 140/90), but exclusion takes precedence — member is excluded, not compliant.
Reason one sentence under 30 words.json{
"status": "excluded",
"reason": "Pregnancy code O09.291 on 2026-06-16 during the measurement year triggers required exclusion E2, removing the member from the denominator despite the compliant 2026-10-28 reading."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 0 tokens
The member: DOB 1994-05-30, so age 32 as of 2026-12-31 — within 18-85. Enrolment continuous full year. Qualifying event: 2026-02-24 office visit with I10 — on or before 2026-06-30. So in denominator.
Exclusions: E2 — pregnancy (O09.291) during measurement year 2026-06-16. O09.291 is within O00-O9A range. So excluded.
Even though the most recent qualifying BP (2026-10-28, 126/76) meets numerator, exclusion takes precedence → "excluded".
Reason: under 30 words, naming criterion/date.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year triggers required exclusion E2, removing the member from the denominator."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 136 tokens
Member 40120: DOB 1994-05-30, age as of 2026-12-31: 32 years. Age eligible (18-85).
Event: outpatient encounter with I10 between 2026-01-01 and 2026-06-30: 2026-02-24 office visit I10 — qualifies. Enrolment continuous.
Exclusions: E2 pregnancy (O09.291) during measurement year — 2026-06-16. So excluded.
Status: excluded. Reason: pregnancy code O09.291 on 2026-06-16 during measurement year (exclusion E2).json{"status": "excluded", "reason": "Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year triggers required exclusion E2, removing the member from the denominator."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Gemini 2.5 Pro · Google17.0s · 1,431 out | 10.6s · 861 out | 16.5s · 1,415 out
Reasoning · 1,386 tokens
Alright, let's break down this evaluation. I've got a specific quality measure, QM-CBP (Blood Pressure Control in Hypertension), for the 2026 measurement year. My task is to assess member 40120's record against this measure and determine if they are "compliant," "non_compliant," "excluded," or "not_eligible," and then provide a concise, one-sentence explanation for that status.
First, I need to thoroughly understand the QM-CBP measure itself. This involves dissecting the specifications:
* **The Core Concept:** The measure is about ensuring blood pressure is controlled for individuals with hypertension.
* **The Timeframe:** The measurement year runs from January 1, 2026, to December 31, 2026.
* **Who's Eligible (The Denominator):**
* They need to be between 18 and 85 years old by the end of 2026.
* They must have had at least one outpatient visit with a diagnosis of I10 (essential hypertension) sometime between January 1, 2026, and June 30, 2026. This is the qualifying "event" that triggers consideration for the measure.
* Crucially, they need to have been continuously enrolled for the entire measurement year, with a small allowance for a single gap of no more than 45 days.
* **What Counts as Success (The Numerator):** If they are eligible, I then look for their most recent outpatient blood pressure reading. This reading must be taken on or after that qualifying hypertension encounter and by the end of the measurement year (December 31, 2026). For success, this reading needs to be below 140 systolic and below 90 diastolic. I must remember to *exclude* readings from the Emergency Department (ED) or inpatient settings, as the measure specifically focuses on outpatient control.
* **Who's Not Included (Exclusions):** There are specific conditions that, if met, mean the member is excluded from being counted as compliant or non-compliant, even if they otherwise meet the denominator criteria. These are:
* E1: End-Stage Renal Disease (ESRD) (N18.6) or being on dialysis (Z99.2) by the end of the year.
* E2: Experiencing pregnancy at any point during the measurement year, identified by any diagnosis code within the O00-O9A range.
* E3: Being in hospice or receiving palliative care during the measurement year.
* E4: Passing away during the measurement year.
Now, I'll shift my focus to the specific member I'm evaluating: **MEMBER 40120**. I need to pull out all relevant details from their record:
* **Basic Demographics:** Date of Birth is May 30, 1994. Gender is Female.
* **Enrollment Status:** Their enrollment covers the entire period from January 1, 2026, to December 31, 2026, and it was continuous. This looks good for meeting the enrollment criteria.
* **Key Encounters/Diagnoses:**
* On February 24, 2026, they had an office visit with diagnosis I10. Their BP was recorded as 144/92. This is important because it's an outpatient encounter with I10 within the first half of the year, making it a *qualifying event*.
* On June 16, 2026, they had an obstetric visit with diagnosis O09.291. The record explicitly states "Pregnancy confirmed." This is a critical piece of information for the exclusion criteria.
* On October 28, 2026, they had another office visit, again with diagnosis I10, and their BP was 126/76. This is a later BP reading.
* **Other Relevant Information:** The record indicates no history of hospice care, no dialysis, and that the member was alive at the end of the year.
With the measure specifications and the member's record in hand, I can now systematically evaluate MEMBER 40120:
* **Step 1: Eligibility Check (Denominator):**
* **Age:** If they were born in May 1994, they will be 32 years old on December 31, 2026 (2026 - 1994 = 32). This falls squarely within the 18-85 age range. So, **Pass**.
* **Enrolment:** Their continuous enrollment from 2026-01-01 to 2026-12-31 meets the requirement perfectly. **Pass**.
* **Qualifying Event:** The office visit on February 24, 2026, with diagnosis I10 is exactly what the denominator requires – an outpatient encounter with I10 in the first half of the year. **Pass**.
* **Conclusion on Eligibility:** Based on these factors, MEMBER 40120 *is* in the denominator, meaning they are an eligible member for this measure, *unless* an exclusion applies.
* **Step 2: Exclusion Check (This is crucial and evaluated *before* the numerator):**
* **E1 (ESRD/Dialysis):** The record states "no dialysis" and there's no indication of an N18.6 diagnosis. So, this exclusion does **not** apply.
* **E2 (Pregnancy):** Ah, here's the key. On June 16, 2026, the member had an obstetric visit with diagnosis O09.291. The measure's exclusion criteria E2 explicitly states "Pregnancy (any O00-O9A code) during the measurement year." The code O09.291 is indeed within that O00-O9A range. Therefore, this exclusion criterion **is met**.
* **E3 (Hospice/Palliative):** The record confirms "No hospice." This exclusion does **not** apply.
* **E4 (Death):** The record indicates the member was "alive at year end." This exclusion does **not** apply.
* **Conclusion on Exclusions:** The member meets exclusion E2 because they had a pregnancy diagnosis during the measurement year.
* **Step 3: Final Status Determination:**
* Since the member met an exclusion criterion (E2), their status is automatically "excluded." The measure's rules are clear: "A member who meets both an exclusion and the numerator is 'excluded', not 'compliant'." Even though their later BP reading (126/76) on October 28th would have made them compliant with the numerator criteria, the exclusion takes precedence.
* Therefore, the final status for MEMBER 40120 is **excluded**.
* **Step 4: Formulating the Reason:**
* I need a single sentence explaining *why* they are excluded. The most direct and accurate reason is the pregnancy.
* The member is excluded due to a pregnancy diagnosis (O09.291) during the measurement year. This clearly states the exclusion and provides the specific identifying code and timeframe.
* **Step 5: Constructing the Output (JSON):**
* Based on the above, the JSON output will be:
* `"status"`: "excluded"
* `"reason"`: "The member is excluded due to a pregnancy diagnosis during the measurement year."
I've also noted that I don't need the `met_7_day` or `met_30_day` keys, as this isn't for QM-FUM. My logic is sound: the member was eligible for the denominator, but then met a clear exclusion criterion, which overrides any potential compliance. The reason accurately reflects this.json{
"status": "excluded",
"reason": "The member is excluded due to a pregnancy diagnosis (O09.291) during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 816 tokens
Alright, let's break down this member's record against the QM-CBP quality measure.
First, I need to thoroughly examine the member's demographic and encounter data. I see Member ID 40120, born on May 30, 1994, and identified as female. Their enrollment is continuous for the entire measurement year, from January 1, 2026, through December 31, 2026. This continuity is a key initial check, and they pass it.
Now, onto the encounters. On February 24, 2026, they had an office visit with a diagnosis of I10, which is hypertension. Their blood pressure was recorded at 144/92. This encounter is significant because it's the one that establishes their qualifying condition for the measure. Later, on June 16, 2026, they had an obstetric visit, and the diagnosis was O09.291, indicating a confirmed pregnancy. Finally, on October 28, 2026, they had another office visit, still with an I10 diagnosis, and their blood pressure was a much improved 126/76.
With the raw data in hand, I'll now move to evaluating this against the QM-CBP specification for the measurement year 2026.
The denominator criteria are crucial here. For age, the member was born in 1994. By the end of the measurement year, December 31, 2026, they will be 32 years old (2026 - 1994 = 32). This falls squarely within the 18 to 85 age range required, so that criterion is met. The qualifying event is also met, as identified earlier: the office visit on February 24, 2026, with an I10 diagnosis, which occurred within the first half of the measurement year (January 1 to June 30). And, as noted, their continuous enrollment for the entire measurement year satisfies that requirement. Based on these checks, the member initially qualifies to be in the denominator.
However, before I can confirm their numerator status, I must rigorously check for any applicable exclusions. This is where the pregnancy becomes critical.
First, exclusion E1 concerns End-Stage Renal Disease (ESRD) or dialysis. The record clearly states "No hospice, no dialysis," and there's no N18.6 diagnosis code present, so this exclusion doesn't apply.
Next is exclusion E2, which deals with pregnancy. The specification explicitly states that "any O00-O9A code" during the measurement year triggers this exclusion. Looking at the encounter on June 16, 2026, the diagnosis was O09.291, which falls directly within that O00-O9A range. Therefore, this exclusion **does apply**.
For completeness, I'll quickly review the other exclusions. E3 is for hospice or palliative care. The record states "No hospice," so this doesn't apply. E4 is for death. The record confirms the "Member alive at year end," so this exclusion is also not applicable.
So, the definitive conclusion is that while the member initially met the denominator criteria, they are subsequently excluded due to the pregnancy diagnosis (E2) that occurred during the measurement year. This means they are removed from the denominator.
My final determination for this member's status is "excluded." The specific reason for this exclusion is the presence of a pregnancy diagnosis within the measurement period.
To construct the JSON response, I'll set the `status` to "excluded" and the `reason` to "The member is excluded due to a pregnancy diagnosis during the measurement year." Since this isn't for the QM-FUM family of tasks, I understand that `met_7_day` and `met_30_day` keys are not relevant and won't be included.json{
"status": "excluded",
"reason": "The member is excluded due to a pregnancy diagnosis (O09.291) during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 1,370 tokens
Alright, let's break down this member's record against the QM-CBP quality measure for blood pressure control in hypertension. My primary goal here is to determine if Member 40120 meets the criteria for compliance or exclusion.
First, I need to thoroughly understand the measure itself. The QM-CBP measure focuses on blood pressure control for individuals with hypertension. The measurement year is set for 2026, specifically from January 1st to December 31st.
Now, let's look at the denominator, which defines the population eligible for this measure. To be eligible, a member must be between 18 and 85 years old by the end of 2026. They also needed to have had an outpatient encounter for hypertension (diagnosis code I10) sometime between January 1st and June 30th, 2026. Crucially, they must have been continuously enrolled for the entire year, with no more than a single gap in coverage lasting 45 days or less.
Next, the numerator defines what constitutes a "compliant" member. For those in the denominator, their most recent *outpatient* blood pressure reading, taken on or after their qualifying hypertension encounter and before the end of 2026, must be below 140/90. It's important to note that blood pressure readings from emergency department or inpatient settings are explicitly excluded from this calculation.
Then, there are the exclusion criteria. These are critical because a member who meets an exclusion is removed from the numerator and denominator, regardless of their blood pressure readings. The exclusions are:
* E1: End-stage renal disease (ESRD) or dialysis at the end of 2026.
* E2: Pregnancy during the measurement year (indicated by codes O00-O9A).
* E3: Receiving hospice or palliative care during the measurement year.
* E4: Death during the measurement year.
With the measure specification clear in my mind, I'll turn my attention to Member 40120's record.
The member's date of birth is May 30th, 1994.
Their enrolment is solid: continuously enrolled from January 1st, 2026, through December 31st, 2026.
Now for the encounters:
* On February 24th, 2026, they had an office visit with a diagnosis of I10 (hypertension) and a blood pressure reading of 144/92.
* On June 16th, 2026, there was an obstetric visit with a diagnosis of O09.291.
* And on October 28th, 2026, another office visit, also with an I10 diagnosis and a BP reading of 126/76.
Regarding other relevant information, the record indicates no hospice care, no dialysis, and the member was alive at the end of the year.
Now, the evaluation process: I'm going to tackle the exclusions first, as this is the standard order of operations.
* **E1 (ESRD/dialysis):** The record explicitly states "No dialysis" and there's no N18.6 code. So, not excluded by E1.
* **E2 (Pregnancy):** I see an encounter on June 16th, 2026, with diagnosis O09.291. This code falls within the O00-O9A range specified for pregnancy. Therefore, this member *definitely* meets exclusion E2.
* **E3 (Hospice/Palliative):** The record states "No hospice." Not excluded by E3.
* **E4 (Death):** The record confirms the "Member alive at year end." Not excluded by E4.
Given that the member meets exclusion E2, my decision is straightforward: the member is `excluded`.
To be thorough, I'll perform a quick double-check of eligibility and numerator compliance, even though the exclusion makes this moot.
* **Eligibility:**
* Age: On December 31st, 2026, the member will be 32 years old (2026 - 1994). This is within the 18-85 range.
* Event: The February 24th, 2026, office visit with I10 is a valid outpatient hypertension encounter between Jan 1 and Jun 30, 2026.
* Continuous Enrolment: Confirmed for the full year.
* So, the member *would have been* in the denominator.
* **Numerator (hypothetically):**
* The qualifying HTN encounter was on February 24th, 2026.
* The most recent outpatient BP reading on or after that date and before year-end is from October 28th, 2026: 126/76.
* 126/76 is indeed < 140/90.
* So, the member *would have been* compliant based on their BP reading.
However, the rule is absolute: exclusions take precedence. A member meeting an exclusion is marked as excluded, not compliant.
Therefore, my final conclusion is that Member 40120 is `excluded` because of the pregnancy diagnosis during the measurement year. I'll format this into the required JSON output. The reason is concise and directly reflects the exclusion criterion met.
```json
{
"status": "excluded",
"reason": "The member is excluded due to a pregnancy diagnosis during the measurement year."
}
```
This JSON structure accurately reflects the outcome. The `status` is clearly "excluded", and the `reason` is a succinct explanation under 30 words, as requested. The absence of QM-FUM related keys is appropriate since the measure specification didn't mention them.json{
"status": "excluded",
"reason": "The member is excluded due to a pregnancy diagnosis (O09.291) during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100GLM-5.2 · Z.ai1.8s · 343 out | 4.1s · 340 out | 2.3s · 127 out
Reasoning · 296 tokens
Let me analyze this member against QM-CBP.
First, exclusions before numerator.
Eligibility:
- Age: DOB 1994-05-30, as of 2026-12-31 = 32 years old. In range 18-85. ✓
- Event: outpatient encounter with I10 on or between 2026-01-01 and 2026-06-30. 2026-02-24 office visit with I10. ✓
- Continuous enrolment: 2026-01-01 through 2026-12-31, continuous. ✓
So member enters denominator.
Exclusions:
- E1: No ESRD/dialysis. Not excluded.
- E2: Pregnancy (O00-O9A) during measurement year. 2026-06-16 obstetric visit, diagnosis O09.291, pregnancy confirmed. This is an O code. Member is pregnant during the measurement year. Excluded under E2.
- E3: No hospice/palliative. Not excluded.
- E4: Alive at year end. Not excluded.
So member meets E2 exclusion → excluded.
The task isn't QM-FUM, so no met_7_day/met_30_day needed.
Status: "excluded"
Reason: Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets requiredexclusion E2.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets required exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 292 tokens
Let me analyze this member against QM-CBP.
Eligibility:
- Age: DOB 1994-05-30, as of 2026-12-31 she is 32 years old. ✓ (18-85)
- Event: outpatient encounter with hypertension diagnosis (I10) on or between 2026-01-01 and 2026-06-30. 2026-02-24 office visit with I10. ✓ Also 2026-10-28 but that's after 2026-06-30.
- Continuous enrolment: 2026-01-01 through 2026-12-31, continuous. ✓
So member is in the denominator.
Exclusions:
- E1: No ESRD or dialysis. ✗
- E2: Pregnancy - 2026-06-16 obstetric visit, diagnosis O09.291, pregnancy confirmed. This is during the measurement year. ✓ Excluded.
- E3: No hospice/palliative. ✗
- E4: Alive at year end. ✗
Member meets E2 (pregnancy during measurement year). Excluded.
Status: "excluded"
Reason: Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets required exclusion E2.
No QM-FUM keys needed since this is QM-CBP.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets required exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 80 tokens
Member 40120. DOB 1994-05-30, age 31 as of 2026-12-31. Eligible age. Has qualifying encounter with I10 on 2026-02-24. Continuous enrollment. Pregnancy confirmed during measurement year with O09.291 (falls under O00-O9A). E2 exclusion applies. Status: excluded.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 during the measurement year meets required exclusion E2, removing the member from the denominator."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Claude Opus 4.8 · Anthropic1.7s · 57 out | 1.5s · 61 out | 1.4s · 50 out
json{"status":"excluded","reason":"Pregnancy code O09.291 during the measurement year meets exclusion E2, removing member from the denominator."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{ "status": "excluded", "reason": "Pregnancy code O09.291 recorded 2026-06-16 during the measurement year meets exclusion E2." }
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{ "status": "excluded", "reason": "Pregnancy code O09.291 during the measurement year meets exclusion E2." }
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Claude Sonnet 5 · Anthropic2.5s · 103 out | 2.2s · 87 out | 2.3s · 116 out
json{
"status": "excluded",
"reason": "E2 pregnancy exclusion applies due to O09.291 diagnosis on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 during the measurement year meets exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Member has pregnancy diagnosis O09.291 during 2026 measurement year, meeting exclusion E2.",
"met_7_day": false,
"met_30_day": false
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Claude Sonnet 4.6 · Anthropic1.9s · 46 out | 2.1s · 48 out | 1.8s · 49 out
json{"status": "excluded", "reason": "Pregnancy diagnosis O09.291 during the measurement year satisfies exclusion E2, removing the member from the denominator."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Member has a pregnancy diagnosis (O09.291) during the measurement year, meeting required exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Member has a pregnancy diagnosis (O09.291) during the measurement year, satisfying required exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Qwen3.7 Max · Alibaba9.1s · 528 out | 308.9s · 580 out | 10.2s · 790 out
Reasoning · 469 tokens
Let me evaluate this member against the QM-CBP measure specification.
**Step 1: Check denominator eligibility**
- Age: DOB 1994-05-30. As of 2026-12-31, age = 32. Within 18-85 range. ✓
- Event: Outpatient encounter with I10 diagnosis between 2026-01-01 and 2026-06-30.
- 2026-02-24: Office visit, diagnosis I10. This qualifies. ✓
- Continuous enrolment: 2026-01-01 through 2026-12-31, continuous. No gaps. ✓
So the member enters the denominator.
**Step 2: Check required exclusions**
- E1: ESRD (N18.6) or dialysis (Z99.2) on or before 2026-12-31. No dialysis mentioned. No ESRD. ✓ Not excluded.
- E2: Pregnancy (any O00-O9A code) during the measurement year.
- 2026-06-16: Obstetric visit, diagnosis O09.291. O09.291 is in the O00-O9A range. Pregnancy confirmed. This is a pregnancy code during the measurement year.
- So the member meets exclusion E2.
Since the member meets exclusion E2, the member is "excluded" and removed from the denominator.
Exclusions are evaluated before the numerator, so even though there's a BP reading of 126/76 on 2026-10-28 that would meet the numerator, the member is excluded.
**Step 3: Determine status and reason**
- Status: "excluded"
- Reason: Member has a pregnancy diagnosis (O09.291) during the measurement year, meeting exclusion E2.
No QM-FUM keys needed since this is QM-CBP.
json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2, removing member from denominator."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 522 tokens
Let me evaluate this member against the QM-CBP measure specification.
**Member 40120:**
- DOB: 1994-05-30
- Age as of 2026-12-31: 32 years old. This is within 18-85 range. ✓
**Enrolment:**
- 2026-01-01 through 2026-12-31, continuous. No gaps. ✓
**Event (qualifying hypertension encounter):**
- 2026-02-24: Office visit, diagnosis I10. This is between 2026-01-01 and 2026-06-30. ✓
- So the member enters the denominator.
**Exclusions (evaluated before numerator):**
- E1: No ESRD or dialysis. ✓ (not excluded)
- E2: Pregnancy (any O00-O9A code) during the measurement year.
- 2026-06-16: Obstetric visit, diagnosis O09.291. O09.291 falls within O00-O9A range. Pregnancy confirmed.
- This meets exclusion E2. The member is EXCLUDED from the denominator.
- E3: No hospice/palliative care. ✓
- E4: Member alive at year end. ✓
Since the member meets exclusion E2 (pregnancy during the measurement year), the member is removed from the denominator before scoring the numerator.
Status: "excluded"
Reason: Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets exclusion E2.
Let me make sure O09.291 is within O00-O9A. O09 is "Supervision of high risk pregnancy" which is within the O00-O9A range. Yes, this qualifies.
The member is excluded, so I don't need to evaluate the numerator.
Reason needs to be one sentence, under 30 words, naming the specific criterion or date.
"Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets exclusion E2." - that's 13 words. Good.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 731 tokens
Let me evaluate this member against the QM-CBP measure specification.
**Member 40120:**
- DOB: 1994-05-30
- Age as of 2026-12-31: 32 years old (born May 30, 1994, so 32 years old at end of 2026)
- Sex: Female
- Enrolment: 2026-01-01 through 2026-12-31, continuous (no gaps)
**Step 1: Check eligible population (denominator)**
- Age: 18 through 85 as of 2026-12-31. Member is 32. ✓
- Event: At least one outpatient encounter with hypertension diagnosis (I10) on or between 2026-01-01 and 2026-06-30.
- 2026-02-24: Office visit, diagnosis I10. This is within the window and is an outpatient encounter. ✓
- Continuous enrolment: Full measurement year with no more than one gap of up to 45 days. Enrolled continuously 2026-01-01 through 2026-12-31. ✓
Member enters the denominator.
**Step 2: Check exclusions (before numerator)**
- E1: End stage renal disease (N18.6) or dependence on renal dialysis (Z99.2) any time on or before 2026-12-31. No dialysis, no mention of N18.6. ✗
- E2: Pregnancy (any O00-O9A code) during the measurement year.
- 2026-06-16: Obstetric visit, diagnosis O09.291. Pregnancy confirmed.
- O09.291 falls within O00-O9A range. This is during the measurement year. ✓ EXCLUDED
So the member meets exclusion E2.
Since exclusions are evaluated before the numerator, and the member meets an exclusion, the status is "excluded".
Let me also check the other exclusions for completeness:
- E3: No hospice. ✗
- E4: Member alive at year end. ✗
The member is excluded due to E2 (pregnancy).
For the reason, I need one sentence, under 30 words, naming the specific criterion or date.
"Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2, removing member from denominator."
That's 12 words. Good.
The member is excluded, so no numerator evaluation is needed. But let me note: if they weren't excluded, the most recent outpatient BP reading would be 2026-10-28: 126/76, which is below 140/90, so they would have been compliant.
Status: "excluded"
Reason: "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2, removing member from denominator."json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2, removing member from denominator."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100GLM-5.3 · Z.ai1.9s · 396 out | 2.8s · 553 out | 5.2s · 844 out
Reasoning · 341 tokens
Let me work through this.
Member 40120, DOB 1994-05-30. As of 2026-12-31, age would be 32 (born 1994-05-30, so on 2026-05-30 turns 32). Age 32 — within 18–85. OK.
Event: at least one outpatient encounter with hypertension diagnosis (I10) on or between 2026-01-01 and 2026-06-30. There's 2026-02-24 office visit with I10. That qualifies.
Continuous enrolment: enrolled full year, continuous. OK.
So member is in the denominator.
Exclusions:
- E1: ESRD/dialysis — no.
- E2: Pregnancy (any O00-O9A code) during the measurement year. 2026-06-16 obstetric visit, diagnosis O09.291. O09 is in O00-O9A range. Yes, pregnancy during measurement year. Exclusion E2 met.
Exclusions are evaluated before the numerator. So member is "excluded".
This is not QM-FUM, so no met_7_day/met_30_day keys needed. The task says items drawn from QM-FUM require two further keys. This is QM-CBP, so only "status" and "reason".
Reason: one sentence, under 30 words, naming the specific criterion or date. "Pregnancy diagnosis O09.291 recorded 2026-06-16 meets exclusion E2, removing her from the denominator before numerator scoring."
Status: "excluded".json{
"status": "excluded",
"reason": "Exclusion E2 met: pregnancy diagnosis O09.291 recorded 2026-06-16 during the measurement year removes her from the denominator before numerator scoring."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 405 tokens
Let me work through this.
Member 40120. DOB 1994-05-30, so as of 2026-12-31 she's 32 years old. Age 18-85: yes.
Event: outpatient encounter with hypertension diagnosis (I10) between 2026-01-01 and 2026-06-30. She has 2026-02-24 office visit with I10. That qualifies. Also 2026-10-28 I10 encounter, but that's after 2026-06-30 and doesn't establish the event. The 2026-02-24 one does.
Continuous enrolment: full year, continuous. OK.
Exclusions evaluated before numerator:
- E1: ESRD or dialysis — no.
- E2: Pregnancy (any O00-O9A code) during the measurement year — yes, 2026-06-16 O09.291 pregnancy confirmed, during 2026. So E2 exclusion met.
- E3: hospice/palliative — no.
- E4: died — no.
So member is excluded. Status: "excluded".
Reason: meets E2 pregnancy exclusion — O09.291 diagnosis on 2026-06-16 during the measurement year.
This is QM-CBP, not QM-FUM, so met_7_day and met_30_day are not required. The task says "Items drawn from measure QM-FUM require two further keys" — this is QM-CBP, so no.
Required keys: status and reason only.
Reason under 30 words, one sentence: "Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets required exclusion E2, removing the member from the denominator before numerator evaluation." That's fine — count words: Pregnancy(1) diagnosis(2) O09.291(3) on(4) 2026-06-16(5) during(6) the(7) measurement(8) year(9) meets(10) required(11) exclusion(12) E2,(13) removing(14) the(15) member(16) from(17) the(18) denominator(19) before(20) numerator(21) evaluation(22). Under 30. Good.
Output JSON only.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year meets required exclusion E2, removing the member from the denominator before numerator evaluation."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 692 tokens
Let me work through this carefully.
Member 40120, DOB 1994-05-30, so as of 2026-12-31 she is 32 years old. Age 18-85: yes, eligible on age.
Event: at least one outpatient encounter with hypertension diagnosis (I10) on or between 2026-01-01 and 2026-06-30. She has a 2026-02-24 office visit with I10. That's within the window. So denominator event criterion met.
Continuous enrolment: 2026-01-01 through 2026-12-31, continuous. Met.
So she's in the denominator.
Exclusions evaluated before numerator:
E1: ESRD/dialysis — no.
E2: Pregnancy (any O00-O9A code) during the measurement year. The 2026-06-16 obstetric visit has diagnosis O09.291. O09 codes are within O00-O9A range. O09.291 — "supervision of elderly multigravida, second trimester" or similar; the O09 series is supervision of high risk pregnancy. The range O00-O9A covers pregnancy, childbirth and the puerperium. So yes, pregnancy during the measurement year. E2 applies.
Wait — the ICD-10-CM code range for pregnancy is O00-O9A. O09.291 falls within O00-O9A (O00 through O9A). Yes, O09 is between O00 and O9A alphabetically/numerically. O00 < O09 < O9A. So the code qualifies.
So E2 exclusion applies: she's pregnant during the measurement year, diagnosis O09.291 on 2026-06-16, which is during 2026.
Status: "excluded". Removed from denominator before scoring.
Reason: one sentence, under 30 words, naming the specific criterion or date that decided it. Something like: "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2 (any O00-O9A code during the measurement year), so she is removed from the denominator."
Keep it under 30 words. "Pregnancy diagnosis O09.291 on 2026-06-16 falls in O00-O9A during the measurement year, meeting required exclusion E2."
This is QM-CBP, not QM-FUM, so no met_7_day/met_30_day keys needed.
Note: even though she would have met the numerator (BP 126/76 on 2026-10-28, which is after the qualifying encounter 2026-02-24 and on or before 2026-12-31; both components below thresholds), exclusions are evaluated before the numerator, so she's "excluded", not "compliant".
Check numerator logic just for completeness: most recent outpatient BP after 2026-02-24 and on or before 2026-12-31: 2026-10-28 office visit BP 126/76 — below 140 systolic and below 90 diastolic. So she'd be compliant if not excluded. But exclusion takes precedence per the spec.
Output JSON:
{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2 (any O00-O9A code during the measurement year)."
}
Reason word count: "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2 (any O00-O9A code during the measurement year)." — that's about 16 words. Fine.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 falls within O00-O9A during the measurement year, satisfying required exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Qwen3.8 Max · Alibaba11.3s · 489 out | 14.1s · 665 out | 10.7s · 447 out
Reasoning · 429 tokens
We need answer task. Need produce JSON only. Need analyze member against QM-CBP? Task family says quality measure logic, likely measure QM-CBP supplied. Need output required keys: status, reason. Since not QM-FUM, no met_7_day etc. Need determine.
Member 40120 DOB 1994-05-30. Age at 2026-12-31: 32. Eligible age 18-85. Enrollment continuous full year no gaps. Event: at least one outpatient encounter with hypertension diagnosis I10 between Jan 1 and Jun 30. Has 2026-02-24 office visit I10 BP 144/92. Qualifying event yes. Denominator initially yes.
Exclusions evaluated before numerator. E2 pregnancy any O00-O9A code during measurement year. Has 2026-06-16 obstetric visit diagnosis O09.291 pregnancy confirmed. O09 is O00-O9A? yes pregnancy-related? O09 supervision of high-risk pregnancy, within O00-O9A. Therefore excluded. Status excluded. Reason one sentence under 30 words naming specific criterion/date. e.g. "Exclusion E2 applies because pregnancy diagnosis O09.291 was recorded on 2026-06-16 during the measurement year." Count? Exclusion(1) E2(2) applies(3) because(4) pregnancy(5) diagnosis(6) O09.291(7) was(8) recorded(9) on(10) 2026-06-16(11) during(12) the(13) measurement(14) year(15). Good. Need only JSON. Ensure no extra keys. status exactly excluded. reason. Could mention excludes before numerator. No need. Final JSON fenced.json{
"status": "excluded",
"reason": "Exclusion E2 applies because pregnancy diagnosis O09.291 was recorded on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 607 tokens
We need answer with JSON only. Need analyze task. Member 40120, DOB 1994-05-30 female. Measurement year 2026. QM-CBP. Need status, reason. Also met_7_day met_30_day only if QM-FUM; not needed? Task says items drawn from QM-FUM require keys; this is QM-CBP, so only status reason? Required JSON keys: status, reason. Do not add keys not asked. Need evaluate.
Denominator: age 18-85 as of 2026-12-31: DOB 1994-05-30 => age 32, eligible. Continuous enrollment full year continuous yes. Event: at least one outpatient encounter with I10 between Jan 1-Jun 30. 2026-02-24 office visit I10 qualifies. Numerator: most recent outpatient BP reading on/after qualifying encounter and on/before Dec 31 below 140/<90, skipping ED/inpatient. Readings: 2026-02-24 BP 144/92 (outpatient, qualifies but not controlled); 2026-10-28 office visit I10 BP 126/76 (outpatient after event, controlled). Most recent qualifying BP is 126/76, below thresholds. But exclusions evaluated before numerator. E2 pregnancy any O00-O9A code during measurement year. 2026-06-16 obstetric visit diagnosis O09.291 pregnancy confirmed. O09.291 is in O00-O9A? O09 codes are supervision of high risk pregnancy, within Chapter 15 pregnancy? Range says any O00-O9A code. O09.291 starts O09, yes within O00-O9A? O00-O9A includes O00-O9A? Actually ICD-10-CM pregnancy codes O00-O9A. O09 is included. So meets pregnancy exclusion E2. Thus status excluded. Reason under 30 words naming criterion/date. E.g. "Excluded under E2: pregnancy diagnosis O09.291 on 2026-06-16 during measurement year." Count? Excluded(1) under(2) E2:(3) pregnancy(4) diagnosis(5) O09.291(6) on(7) 2026-06-16(8) during(9) measurement(10) year(11). Good. Need output JSON only. Ensure no extra keys. final fenced JSON.json{
"status": "excluded",
"reason": "Excluded under E2: pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 385 tokens
We need answer JSON only. Need analyze measure QM-CBP. Member 40120 DOB 1994-05-30 female. Measurement year 2026. Age as of 2026-12-31: born 1994-05-30 -> 32. Eligible age 18-85 yes. Continuous enrollment full year no gaps yes. Event: at least one outpatient encounter with hypertension diagnosis I10 between Jan 1 and Jun 30. Has 2026-02-24 office visit diagnosis I10, BP 144/92. Qualifying event yes. Exclusions evaluated before numerator. E2 pregnancy any O00-O9A code during measurement year. 2026-06-16 obstetric visit diagnosis O09.291 pregnancy confirmed. O09.291 is within O00-O9A? yes O09 pregnancy supervision? Codes O00-O9A are pregnancy, childbirth, puerperium. So meets pregnancy exclusion during measurement year. Therefore status excluded. Reason under 30 words naming specific criterion/date. Need maybe "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2, removing member from denominator." Count words? Pregnancy(1) diagnosis2 O09.291 3 on4 2026-06-16 5 meets6 required7 exclusion8 E2,9 removing10 member11 from12 denominator13. Good. Since QM-CBP not FUM no extra keys. Need output exactly JSON with status reason. Ensure no extra keys. final fenced JSON only.
json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2, removing the member from the denominator."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100GPT-5.6 Terra · OpenAI1.9s · 38 out | 1.2s · 42 out | 1.1s · 42 out
json{"status":"excluded","reason":"Pregnancy was confirmed during the measurement year on 2026-06-16 (O09.291)."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{"status":"excluded","reason":"Pregnancy diagnosis O09.291 occurred during the measurement year.","met_7_day":false,"met_30_day":false}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{"status":"excluded","reason":"Pregnancy diagnosis O09.291 occurred during the measurement year.","met_7_day":false,"met_30_day":false}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100GLM-5.3 Flash · Z.ai17.3s · 793 out | 10.7s · 654 out | 13.1s · 617 out
Reasoning · 634 tokens
Let me work through this member against QM-CBP.
Member 40120, DOB 1994-05-30, female. Age as of 2026-12-31: born 1994-05-30, so on 2026-12-31 she is 32 years old. Within 18-85. Eligible on age.
Event: outpatient encounter with I10 between 2026-01-01 and 2026-06-30. The 2026-02-24 office visit with I10 qualifies. So in the denominator.
Continuous enrolment: full year, no gaps. Good.
Numerator: most recent outpatient BP on or after the qualifying hypertension encounter (2026-02-24) and on or before 2026-12-31. Readings:
- 2026-02-24: 144/92 — elevated.
- 2026-10-28: 126/76 — controlled.
Most recent qualifying reading: 2026-10-28, 126/76, below 140 systolic and below 90 diastolic. So numerator met.
BUT: Exclusions evaluated before the numerator. E2: Pregnancy (any O00-O9A code) during the measurement year. The 2026-06-16 obstetric visit has diagnosis O09.291. O09 is "Supervision of elderly primigravida and multigravida" — wait, in ICD-10, O09 is supervision of elderly primigravida/multigravida; O09.291 might be supervision of elderly multigravida... Actually the codes O00-O9A — O09 falls in the range O00-O9A? The range O00-O9A covers pregnancy, childbirth, and the puerperium chapter codes O00-O9A. Yes, O09 is within that chapter (O00–O9A is the entire pregnancy chapter in ICD-10-CM). The spec says "any O00-O9A code" during the measurement year. O09.291 is an O-code in that range. So E2 exclusion applies.
The record says "Pregnancy confirmed." So the exclusion clearly applies. Excluded from denominator.
So status: "excluded", reason: meets E2 pregnancy exclusion (O09.291 during measurement year), removed before numerator evaluation.
Note the harness instruction: "A member who meets both an exclusion and the numerator is 'excluded', not 'compliant'." Here she meets both (numerator via 126/76 on 2026-10-28) and exclusion E2. So "excluded".
Reason must be one sentence, under 30 words, naming the specific criterion. E.g., "Excluded under E2: pregnancy diagnosis O09.291 during the measurement year removes the member from the denominator before numerator evaluation."
Count words: Excluded(1) under(2) E2(3) pregnancy(4) diagnosis(5) O09.291(6) during(7) the(8) measurement(9) year(10) removes(11) the(12) member(13) from(14) the(15) denominator(16) before(17) numerator(18) evaluation(19). Under 30 words. Good.
No extra keys needed — only "status" and "reason" (met_7_day/met_30_day are only for QM-FUM).
Output exactly one fenced JSON code block.json{
"status": "excluded",
"reason": "Meets exclusion E2: pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year removes her from the denominator before numerator evaluation."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 590 tokens
Let me work through this against QM-CBP.
Member 40120, DOB 1994-05-30. Age as of 2026-12-31: born 1994-05-30, so on 2026-12-31 they turn... 2026 - 1994 = 32; birthday May 30 already passed, so age 32. Within 18–85. Eligible age.
Event: outpatient encounter with hypertension diagnosis I10 on or between 2026-01-01 and 2026-06-30. 2026-02-24 office visit with I10 — qualifies. Continuous enrolment: full year, no gaps. Denominator: yes.
Exclusions are evaluated before the numerator.
E1: ESRD/dialysis — no.
E2: Pregnancy (any O00-O9A code) during the measurement year — 2026-06-16 obstetric visit, diagnosis O09.291. O09 is supervision of elderly primigravida/multigravida... The exclusion says "any O00-O9A code". O09 falls within O00-O9A. So pregnancy exclusion applies. Wait — O09.291: "Supervision of elderly multigravida, third trimester"? Actually O09.29 is supervision of elderly multigravida; .291 is third trimester. Regardless, it's an O code within O00-O9A. The exclusion says pregnancy (any O00-O9A code) during the measurement year. The visit is 2026-06-16, within the measurement year. So E2 applies.
E3: hospice/palliative — none. E4: died — alive.
So the member meets exclusion E2 and is "excluded", removed from denominator before numerator evaluation. Per the rules: "Exclusions are evaluated before the numerator. A member who meets both an exclusion and the numerator is 'excluded', not 'compliant'."
The BP reading on 2026-10-28 (126/76) is after the qualifying encounter (2026-02-24) and would meet the numerator, but the exclusion takes precedence.
Status: "excluded".
Reason: one sentence, under 30 words, naming the specific criterion. E.g., "Excluded under E2: pregnancy diagnosed via O09.291 obstetric visit on 2026-06-16 within the measurement year."
Count words: "Excluded under E2: pregnancy diagnosis O09.291 on 2026-06-16 within measurement year." That's about 12 words. Good.
Keys: status, reason. No met_7_day/met_30_day since this is QM-CBP, not QM-FUM.
Output exactly one fenced JSON code block.json{
"status": "excluded",
"reason": "E2 pregnancy exclusion applies: O09.291 obstetric diagnosis on 2026-06-16 falls within O00-O9A during the measurement year, so the member is removed before numerator evaluation."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 555 tokens
Let me work through QM-CBP for member 40120.
Eligible population:
- Age: DOB 1994-05-30, as of 2026-12-31 the member is 32. In range 18-85. ✓
- Event: outpatient encounter with hypertension diagnosis (I10) between 2026-01-01 and 2026-06-30. The 2026-02-24 office visit with I10 qualifies. ✓
- Continuous enrolment: 2026-01-01 through 2026-12-31, continuous, no gaps. ✓
Exclusions evaluated before numerator:
- E1: no dialysis/ESRD. Not met.
- E2: Pregnancy (any O00-O9A code) during the measurement year. The member has an obstetric visit 2026-06-16 with diagnosis O09.291 (supervision of elderly primigravida... well, O09.291 is supervision of... O09.291 — supervision of elderly primigravida? Actually O09.291 is "Supervision of elderly primigravida" — regardless, it's an O09 code, which falls within O00-O9A). Pregnancy confirmed. So E2 exclusion is met.
- E3: no hospice. Not met.
- E4: alive at year end. Not met.
The member meets exclusion E2 (pregnancy O00-O9A during measurement year). So status is "excluded" — removed from denominator before scoring, even though the last BP reading 126/76 would have met the numerator.
Note: the exclusion is evaluated before the numerator, so even though BP 126/76 at 2026-10-28 (after the qualifying encounter 2026-02-24, on or before 2026-12-31, outpatient) meets numerator criteria, the exclusion wins → "excluded".
Reason: one sentence, under 30 words, naming the specific criterion. E.g., "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2 (any O00-O9A code during the measurement year), removing the member from the denominator."
Count words: "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2 (any O00-O9A code during the measurement year), removing the member from the denominator." — roughly 22 words. Good.
QM-CBP is not QM-FUM, so no met_7_day/met_30_day keys needed.
Output format: exactly one fenced JSON block.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2 (any O00-O9A code during the measurement year), removing the member from the denominator."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Hunyuan 4 · Tencent85.3s · 1,368 out | 26.2s · 1,288 out | 42.0s · 2,103 out
Reasoning · 1,313 tokens
We need answer in JSON only. Need analyze measure QM-CBP. Member 40120 DOB 1994-05-30. As of 2026-12-31 age: turns 32 on 2026-05-30, so age 32, within 18-85. Denominator: at least one outpatient encounter with hypertension diagnosis I10 on or between 2026-01-01 and 2026-06-30. Encounters: 2026-02-24 Office visit dx I10 yes qualifying event. Also 2026-10-28 office visit I10 but after June 30 doesn't establish but event already established by Feb 24. Continuous enrolment full year, no gaps. So in denominator initially.
Exclusions evaluated before numerator. Required exclusions: E1 ESRD/dialysis none. E2 Pregnancy (any O00-O9A code) during measurement year. Encounter 2026-06-16 Obstetric visit, diagnosis O09.291. O09 is supervision of high risk pregnancy? O09.291 - Supervision of pregnancy with other poor reproductive or obstetric history, second trimester? Actually O09.291 is in range O00-O9A? Let's check ICD-10: O09 is Supervision of high risk pregnancy, codes O09.00-O09.93. O09.291 falls under O09.29? O09.291 - Supervision of pregnancy with other poor reproductive or obstetric history, first trimester? Wait O09.291 maybe not important, it's an O code within O00-O9A. So pregnancy during measurement year. Thus exclusion E2 met. Remove from denominator before scoring. Status = excluded. Reason must be one sentence under 30 words naming specific criterion or date that decided it. Something like: "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2, removing the member from the denominator before numerator scoring." Need count words: Pregnancy(1) diagnosis(2) O09.291(3) on(4) 2026-06-16(5) meets(6) required(7) exclusion(8) E2(9), removing(10) the(11) member(12) from(13) the(14) denominator(15) before(16) numerator(17) scoring(18). Under 30. Good.
Required JSON keys for QM-CBP: status, reason. No met_7_day/met_30_day because those are for QM-FUM only. The prompt says "Items drawn from measure QM-FUM require two further keys". This is QM-CBP, so only status and reason. For status excluded, no numerator keys. Ensure "reason" string under 30 words. Need output JSON code block only. No other keys. Money? not relevant. Dates? reason includes ISO date. Good.
Let's double-check exclusion E2 wording: "Pregnancy (any O00-O9A code) during the measurement year." Diagnosis O09.291 is indeed an O code. It occurred during measurement year 2026-06-16. So excluded. Continuous enrollment satisfied. Age satisfied. Event satisfied.
What about numerator? Since excluded, not scored. If we were to consider most recent outpatient BP on/after qualifying encounter (2026-02-24) and on/before 2026-12-31 is 2026-10-28 office visit BP 126/76 below 140 and 90, would meet numerator. But exclusion evaluated before numerator, so excluded not compliant. Good.
Need ensure status string exactly "excluded". reason one sentence. Could be: "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2, so the member is removed from the denominator before numerator scoring." Word count: Pregnancy1 diagnosis2 O09.2913 on4 2026-06-165 meets6 exclusion7 E2,8 so9 the10 member11 is12 removed13 from14 the15 denominator16 before17 numerator18 scoring19. Good. Maybe mention "required exclusion". It's fine.
Need not include sex. Female? irrelevant.
Let's consider if O09.291 is in O00-O9A? Let's verify ICD-10-CM structure: O00-O08 are Pregnancy with abortive outcome; O09 is Supervision of high risk pregnancy; O10-O16 Edema, proteinuria, hypertension disorders; O20-O29 other maternal disorders; O30-O48 maternal care related to fetus; O60-O77 labor; O80-O82 delivery; O85-O92 complications; O94-O99 other obstetric conditions; O9A is Assault by other? Wait O9A? Actually ICD-10 has O9A for injuries, poisoning etc? Let's recall: O00–O9A Chapter 15 Pregnancy, childbirth and the puerperium. Yes O9A includes "Injury, poisoning and certain other consequences of external causes complicating pregnancy, childbirth and the puerperium" (O9A.11 etc). So O09 is within O00-O9A because O09 < O9A? String range O00 to O9A inclusive. O09 is within that range because O00 through O9A covers all O codes, including O09. In ICD-10-CM, codes are O00-O9A indeed includes O09. So yes.
Need output:
```json
{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2, removing the member from the denominator before numerator scoring."
}
```
Check word count of reason: Pregnancy(1) diagnosis(2) O09.291(3) on(4) 2026-06-16(5) meets(6) required(7) exclusion(8) E2,(9) removing(10) the(11) member(12) from(13) the(14) denominator(15) before(16) numerator(17) scoring.(18) Under 30. Good.
Need ensure exactly one fenced JSON code block, nothing else. No trailing text. Use JSON null? Not needed.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2, removing the member from the denominator before numerator scoring."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 1,241 tokens
We need answer with JSON only. Need parse QM-CBP measure. Member record: DOB 1994-05-30. Measurement year 2026. Age as of 2026-12-31: 2026 - 1994 = 32 if birthday passed? DOB May 30, 1994. On 2026-12-31, she is 32 (turned 32 on 2026-05-30). Age 18-85 yes.
Denominator criteria:
- Age 18-85 as of 2026-12-31: yes.
- Event: at least one outpatient encounter with hypertension diagnosis I10 on/between 2026-01-01 and 2026-06-30. Encounter 2026-02-24 Office visit, diagnosis I10. Yes establishes event. Also 2026-10-28 office visit I10 too but after 6/30 not needed. Continuous enrolment full year no gaps? Enrolment 2026-01-01 through 2026-12-31 continuous -> yes.
Exclusions evaluated before numerator:
E1 ESRD/dialysis any time on/before 2026-12-31: none.
E2 Pregnancy (any O00-O9A code) during measurement year: 2026-06-16 Obstetric visit, diagnosis O09.291. O09 is supervision of high-risk pregnancy? Codes O00-O9A is pregnancy, childbirth, puerperium. O09.291 is "Supervision of pregnancy with other poor reproductive or obstetric history, first trimester"? Actually O09.291 is Pregnancy with other poor reproductive or obstetric history, first trimester? It falls within O00-O9A, yes pregnancy during measurement year. So exclusion E2 met. Therefore excluded, removed from denominator. Since excluded, status "excluded". Reason one sentence under 30 words naming specific criterion or date that decided it. Need say meets exclusion E2 due to pregnancy diagnosis O09.291 on 2026-06-16 during measurement year. Under 30 words. Let's craft concise: "Meets required exclusion E2: pregnancy diagnosis O09.291 documented during the measurement year on 2026-06-16." Word count: Meets(1) required(2) exclusion(3) E2:(4) pregnancy(5) diagnosis(6) O09.291(7) documented(8) during(9) the(10) measurement(11) year(12) on(13) 2026-06-16(14). Under 30. Good.
Do we need "met_7_day" and "met_30_day"? Task family QM-CBP? The instructions say Items drawn from measure QM-FUM require two further keys. This is QM-CBP, not QM-FUM. So do NOT include met_7_day or met_30_day. Required keys: status, reason. Only those. Ensure no extra keys. Output exactly one fenced JSON code block.
Check if any nuance: Exclusion E2 "Pregnancy (any O00-O9A code) during the measurement year." Obstetric visit on 2026-06-16 with O09.291. That's during 2026. Yes. Exclusion evaluated before numerator. So even though most recent outpatient BP on 2026-10-28 is 126/76, meets numerator, but excluded takes precedence (member who meets both exclusion and numerator is excluded). So status excluded. No need evaluate numerator but we know. Reason should name specific criterion/date. Maybe "Exclusion E2 met: pregnancy code O09.291 on 2026-06-16 during measurement year." Count: Exclusion(1) E2(2) met:(3) pregnancy(4) code(5) O09.291(6) on(7) 2026-06-16(8) during(9) measurement(10) year(11). That's shorter. Ensure under 30. Good.
Need output JSON with double quotes, boolean not needed. Ensure no trailing commas.
```json
{
"status": "excluded",
"reason": "Exclusion E2 met: pregnancy code O09.291 on 2026-06-16 during the measurement year."
}
```
Check date format? Reason includes date ISO? It says dates are ISO 8601. In prose reason, use ISO? The instruction: Dates are ISO 8601 (YYYY-MM-DD). Probably any date mentioned should be ISO. We used 2026-06-16. Good.
Status exact string "excluded". Good.
Check if member never enters denominator? No, eligible except exclusion. Excluded.
Let's ensure no other exclusions? No hospice/palliative/died/alive. ESRD none. It's E2.
One more nuance: The denominator event requires at least one outpatient encounter with hypertension diagnosis I10 on/between 2026-01-01 and 2026-06-30. Member had 2026-02-24 office visit diagnosis I10. Yes. Also continuous enrolment full year. So denominator initially. Exclusion E2 removes before scoring. Good.
Could there be issue with obstetric visit being outpatient? Not relevant for pregnancy exclusion; any O00-O9A code during measurement year, any encounter? It says Pregnancy (any O00-O9A code) during the measurement year. The obstetric visit with O09.291 is a diagnosis code, yes.
Could O09.291 be not pregnancy? O09 is "Supervision of high risk pregnancy" so yes within O00-O9A. Good.
Need final with only JSON fenced code block. No preamble. Ensure code block language json? The contract says exactly one fenced JSON code block. Use ```json ... ```. Nothing else.
Let's finalize.json{
"status": "excluded",
"reason": "Exclusion E2 met: pregnancy code O09.291 on 2026-06-16 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 2,050 tokens
We need answer JSON only. Need evaluate measure QM-CBP for member 40120. Let's parse.
Measure QM-CBP: Blood pressure control in hypertension. Measurement year 2026-01-01 through 2026-12-31.
Denominator eligible population:
- Age: 18 through 85 years as of 2026-12-31. DOB 1994-05-30. Age on 2026-12-31 = 32 (since 2026 - 1994 = 32, birthday May 30 before Dec 31, so 32). Within 18-85 -> yes.
- Event: at least one outpatient encounter with hypertension diagnosis (I10) on or between 2026-01-01 and 2026-06-30. Encounter after 2026-06-30 does not establish event. Member has 2026-02-24 Office visit, diagnosis I10. That is outpatient? "Office visit" is outpatient encounter. Within Jan 1 - Jun 30. Qualifying event date = 2026-02-24. Yes.
- Continuous enrolment: enrolled full measurement year with no more than one gap of up to 45 days. Record says Enrolment: 2026-01-01 through 2026-12-31, continuous. So yes.
So member enters denominator unless excluded.
Required exclusions evaluated before numerator:
E1 ESRD/dialysis any time on or before 2026-12-31. No hospice, no dialysis, no N18.6. Not E1.
E2 Pregnancy (any O00-O9A code) during measurement year. Member has 2026-06-16 Obstetric visit, diagnosis O09.291. O09 is within O00-O9A? O09.291 - code O09 is "Supervision of high risk pregnancy" and range O00-O9A includes O09? Let's check ICD-10: O00-O9A is pregnancy, childbirth and the puerperium. O09 is Supervision of high risk pregnancy. Yes O09 is within O00-O9A. Code O09.291 is "Supervision of pregnancy with other poor reproductive or obstetric history, first trimester"? Actually O09.291 maybe first trimester? Need not know specifics. It says any O00-O9A code during measurement year. It is diagnosis O09.291 at encounter 2026-06-16. That is during measurement year 2026. So E2 met. Remove from denominator. So status = "excluded". Reason one sentence under 30 words naming the specific criterion or date that decided it. E2 pregnancy diagnosis O09.291 on 2026-06-16 during measurement year.
Need check: Does exclusion require pregnancy during measurement year. The encounter is 2026-06-16, within measurement year. Yes.
Important: "A member who meets both an exclusion and the numerator is excluded, not compliant." Here numerator? Let's evaluate anyway? Most recent outpatient BP reading taken on or after date of qualifying hypertension encounter (2026-02-24) and on or before 2026-12-31. Encounters: 2026-02-24 office visit BP 144/92 (on same day as event, after event? event date is that encounter; reading taken on that date counts as on or after date? Usually on or after the date of qualifying encounter. It says "on or after the date of the qualifying hypertension encounter". So 2026-02-24 reading counts. 2026-06-16 obstetric visit no BP. 2026-10-28 office visit BP 126/76. Is that outpatient? Office visit yes. Not ED or inpatient. So most recent qualifying reading is 2026-10-28 BP 126/76. Systolic 126 < 140, diastolic 76 < 90. Both below thresholds. So numerator met. But because E2 exclusion met, excluded.
Now required keys for QM-CBP: The task family says "Items drawn from measure QM-FUM require two further keys: met_7_day and met_30_day". This is QM-CBP, not QM-FUM. Required JSON keys are "status" and "reason". Do not add met_7_day or met_30_day. Only required keys status and reason. Need output exactly one fenced JSON block. The JSON object with keys "status" and "reason". Should we include null? No.
Need ensure reason under 30 words, one sentence. Let's draft: "Excluded by E2: pregnancy diagnosis O09.291 documented at the 2026-06-16 obstetric visit during the measurement year." Count words: Excluded(1) by(2) E2:(3) pregnancy(4) diagnosis(5) O09.291(6) documented(7) at(8) the(9) 2026-06-16(10) obstetric(11) visit(12) during(13) the(14) measurement(15) year(16). Under 30. Good. It names specific criterion (E2) and date (2026-06-16). Need one sentence. Yes.
Check if O09.291 is in O00-O9A. ICD-10 CM categories: O00-O08 are pregnancy with abortive outcome? Actually let's verify: Chapter 15 codes O00-O9A. O00 Ectopic pregnancy. O01 Hydatidiform mole. O02 Other abnormal products of conception. O03 Spontaneous abortion. O04 Complications following (induced) termination of pregnancy. O05 Complications following miscarriage and ectopic and molar pregnancy? Wait O08 Complications following ectopic and molar pregnancy. O09 Supervision of high risk pregnancy. O10 Pre-existing hypertension complicating pregnancy etc. O10-O16 maternal hypertension. O20-O29 other maternal disorders. O30-O48 maternal care related to fetus. O60-O77 complications of labor. O80-O82 delivery. O85-O92 complications predominantly related to puerperium. O94-O99 other obstetric conditions. O9A is injuries etc. So O09 is within O00-O9A. Yes.
One nuance: The measure denominator event: "at least one outpatient encounter with a hypertension diagnosis (I10) on or between 2026-01-01 and 2026-06-30. An encounter after 2026-06-30 does not establish the event." Member has 2026-02-24 office visit diagnosis I10. Good.
Continuous enrolment: 2026-01-01 through 2026-12-31, continuous. Good.
Exclusions: E2. Pregnancy any O00-O9A code during measurement year. There is 2026-06-16 Obstetric visit diagnosis O09.291. But note 2026-06-16 is within the measurement year, but also before or within the event window? Event window ends 2026-06-30. The pregnancy encounter is 2026-06-16, still during measurement year. So yes excluded.
Could there be a nuance that pregnancy diagnosis code O09.291 is "supervision of high risk pregnancy" and maybe not a pregnancy code? The measure says "Pregnancy (any O00-O9A code)". O09.291 starts with O09, which is in range O00-O9A. So yes. This is a required exclusion.
Need maybe mention not eligible? No, age 32 meets. Enrollment meets. Event meets. So denominator entered, then excluded.
Need output:
```json
{
"status": "excluded",
"reason": "Excluded by E2: pregnancy diagnosis O09.291 documented at the 2026-06-16 obstetric visit during the measurement year."
}
```
Check reason sentence length under 30 words. Yes.
Need ensure no extra keys. Since task family mentions QM-FUM further keys only for QM-FUM. Not add. Good.
Wait: Is there any requirement for keys "met_7_day", "met_30_day" for QM-CBP? The prompt: "Items drawn from measure QM-FUM require two further keys: met_7_day boolean, met_30_day boolean. For a member who is excluded or not_eligible under QM-FUM, report both as false." That's only for QM-FUM. This task is QM-CBP. So we must NOT include those keys. The required JSON keys given by task: "Required JSON keys: status, reason". It says include every required key. Do not add keys not asked for. So only status and reason.
Need confirm measure QM-CBP: The numerator reading must be outpatient, not ED/inpatient. 2026-10-28 office visit. It meets. But excluded.
Potential nuance: The qualifying hypertension encounter is on 2026-02-24 with BP 144/92. The most recent BP reading on or after event and before end of year is 2026-10-28 126/76. Since excluded, status excluded. If no exclusion, status compliant. But excluded.
The reason should name specific criterion or date. It does: E2 and 2026-06-16. Good.
Let's craft final answer exactly fenced JSON block and nothing else. Ensure code block language? The instruction: "Reply with exactly one fenced JSON code block and nothing else." Use ```json ... ```. No text before/after.
Double-check JSON formatting: reason string uses colon inside, fine. No trailing comma. Use boolean? Not needed.
Let's produce.json{
"status": "excluded",
"reason": "Excluded by E2: pregnancy diagnosis O09.291 documented at the 2026-06-16 obstetric visit during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Qwen3.8 Flash · Alibaba5.0s · 397 out | 8.7s · 346 out
Reasoning · 338 tokens
We need answer in JSON only. Need analyze task. Member 40120 DOB 1994-05-30, age 32 as of 2026-12-31. Enrolled continuous 2026. Event: outpatient encounter with I10 between Jan 1 and Jun 30: 2026-02-24 Office visit I10 qualifies. Numerator: most recent outpatient BP reading after qualifying HTN date and <= 2026-12-31. There is 2026-10-28 Office visit I10 BP 126/76, below 140 and below 90. But exclusions before numerator: pregnancy any O00-O9A during measurement year: 2026-06-16 O09.291 pregnancy confirmed. Thus excluded. Required keys status, reason. Since excluded, reason one sentence under 30 words naming criterion/date. "excluded" and reason: "Pregnancy O09.291 confirmed 2026-06-16 during measurement year triggers exclusion E2." Count words: Pregnancy1 O09.291? maybe code as one? 2 confirmed3 2026-06-164 during5 measurement6 year7 triggers8 exclusion9 E2.10 good. Need maybe status not eligible? Age eligible, event eligible, enrollment eligible. But pregnancy excludes. Output exactly one fenced JSON block.json{
"status": "excluded",
"reason": "Pregnancy code O09.291 confirmed on 2026-06-16 during the measurement year triggers exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 285 tokens
We need answer JSON. Need analyze measure QM-CBP member. Need status, reason. Need exclusions evaluated before numerator. Member DOB 1994-05-30, age on 2026-12-31 = 32, eligible age. Enrolment continuous. Event: at least one outpatient encounter with I10 between 2026-01-01 and 2026-06-30. 2026-02-24 office visit diagnosis I10 qualifies. Exclusion E2 pregnancy any O00-O9A during measurement year. 2026-06-16 obstetric visit diagnosis O09.291, confirmed pregnancy. So excluded from denominator before numerator, even though later BP compliant and no earlier qualifying? Status excluded. Reason one sentence under 30 words naming specific criterion/date. Maybe "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2, removing member from denominator." Count words? Pregnancy(1) diagnosis2 O09.291 on3? Need under 30. Ensure date. Output only JSON. No extra keys. Status, reason. Need no met_7_day because not QM-FUM.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2, removing the member from the denominator."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Kimi K2.6 · Moonshot35.4s · 1,163 out | 27.3s · 841 out | 15.6s · 871 out
Reasoning · 1,122 tokens
We need to apply measure QM-CBP to member 40120.
First, check denominator eligibility:
- Age: DOB 1994-05-30. As of 2026-12-31, age is 2026-12-31 minus 1994-05-30 = 32 years old (will turn 32 on 2026-05-30). So age 18-85: yes.
- Event: at least one outpatient encounter with hypertension diagnosis I10 between 2026-01-01 and 2026-06-30.
- 2026-02-24 office visit, dx I10: yes, this is within the date range. So event met.
- Continuous enrollment: enrolled 2026-01-01 through 2026-12-31, continuous. The prompt says "Enrolment: 2026-01-01 through 2026-12-31, continuous." So no gaps. Denominator eligible.
Now exclusions before numerator:
- E1: End stage renal disease or dialysis any time on or before 2026-12-31. Record says "No dialysis." So no.
- E2: Pregnancy (any O00-O9A code) during the measurement year. Record: 2026-06-16 obstetric visit, diagnosis O09.291. Pregnancy confirmed. O09.291 is in O09 (supervision of high-risk pregnancy). O00-O9A covers pregnancy. So this is a pregnancy code during the measurement year. Exclusion E2 applies. The member is excluded.
- E3: Hospice or palliative care: no.
- E4: Died: no.
Since E2 applies, status is "excluded".
The question: "For a member who is 'excluded' or 'not_eligible' under QM-FUM, report both as false." But this is measure QM-CBP, not QM-FUM. Wait, the task description says: "Items drawn from measure QM-FUM require two further keys: 'met_7_day' boolean, 'met_30_day' boolean". Since this is QM-CBP, those keys are not required. The required JSON keys for QM-CBP are only "status" and "reason". So we should output only those two keys.
Wait, let me re-read the task family instructions. It says:
Required JSON keys:
"status" string
"reason" string
Then: "Items drawn from measure QM-FUM require two further keys: 'met_7_day' boolean, 'met_30_day' boolean"
This is measure QM-CBP. So only status and reason.
But wait, the system prompt says: "Include every required key. Do not add keys that were not asked for." So for QM-CBP, only status and reason.
However, I need to be careful: Is O09.291 considered a pregnancy code? The exclusion says E2. Pregnancy (any O00-O9A code) during the measurement year. O09 is indeed within O00-O9A. So yes.
Also, the encounter on 2026-02-24 establishes the event. The pregnancy on 2026-06-16 is during the measurement year. So excluded.
Thus status: "excluded".
Reason: one sentence, under 30 words, naming the specific criterion or date that decided it.
Need to craft reason. "Pregnancy code O09.291 on 2026-06-16 triggers exclusion E2." Let's count words: Pregnancy (1) code (2) O09.291 (3) on (4) 2026-06-16 (5) triggers (6) exclusion (7) E2. (8) That's 8 words. Good.
Alternatively: "Member had pregnancy diagnosis O09.291 during measurement year." That's 7 words. But it should name the specific criterion. So mention E2.
"Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2." That's 8 words. Good.
Double-check: The prompt says "No hospice, no dialysis. Member alive at year end." So no other exclusions.
One nuance: Is the pregnancy encounter an outpatient encounter? It says obstetric visit. But regardless, it's a diagnosis code in the record. The exclusion says any O00-O9A code during the measurement year. It doesn't specify it has to be on a claim or encounter type, but the record includes it as an encounter. So it's valid.
Thus final JSON:
```json
{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2."
}
```
Wait, is O09.291 actually a pregnancy code? O09 is "Supervision of high-risk pregnancy". It falls under O00-O9A (Pregnancy, childbirth and the puerperium). So yes.
Another nuance: Could the pregnancy be considered not confirmed? The record says "Pregnancy confirmed." So definitely.
Thus answer is correct.
Need to ensure output is exactly one fenced JSON code block and nothing else.
Also check if any other keys are required. The prompt says "Required JSON keys: 'status' string, 'reason' string". Then mentions QM-FUM keys. Since this is QM-CBP, no extra keys.
Let's write it.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 800 tokens
We need to parse the measure QM-CBP. Member record. Determine status: compliant, non_compliant, excluded, not_eligible.
First, check denominator eligibility:
- Age 18 through 85 as of 2026-12-31. DOB 1994-05-30. As of 2026-12-31, age = 2026 - 1994 = 32 (if birthday passed? May 30, 2026 is before Dec 31, so age 32). 18 <= 32 <= 85. OK.
- Event: at least one outpatient encounter with hypertension diagnosis I10 on or between 2026-01-01 and 2026-06-30. Encounter on 2026-02-24 office visit with I10. This is outpatient (office visit). Date within window. OK.
- Continuous enrollment: enrolled full year with no more than one gap up to 45 days. Record says continuous 2026-01-01 through 2026-12-31. So no gaps. OK.
Denominator: Yes.
Exclusions:
- E1: End stage renal disease or dialysis. Not present. No.
- E2: Pregnancy (any O00-O9A code) during measurement year. Encounter 2026-06-16 obstetric visit, diagnosis O09.291. This is in O09. O09 is within O00-O9A? O09 is "Supervision of high risk pregnancy". The range O00-O9A includes O09. The spec says "any O00-O9A code". So yes, pregnancy code present during measurement year. Member meets E2.
- E3: Hospice or palliative care. None.
- E4: Died during measurement year. Alive.
Since E2 applies, the member is excluded. Exclusions evaluated before numerator. So status = "excluded".
Reason: one sentence under 30 words naming specific criterion or date that decided it. Something like: "Pregnancy diagnosis O09.291 on 2026-06-16 triggers exclusion E2." Count words: Pregnancy (1) diagnosis (2) O09.291 (3) on (4) 2026-06-16 (5) triggers (6) exclusion (7) E2 (8). Under 30 words. Good.
Check if any other keys required? The prompt says required JSON keys: "status", "reason". For QM-FUM there are extra keys, but this is QM-CBP. So just status and reason.
Double-check: The numerator would be most recent outpatient BP taken on or after qualifying encounter date (2026-02-24) and on or before 2026-12-31. The BP on 2026-10-28 is 126/76, which is below 140 and below 90. But because excluded, we don't consider numerator. Status is excluded.
Also confirm that O09.291 is indeed in range O00-O9A. O09 is O09. O00-O9A covers all O chapters. Yes.
Answer must be exactly one fenced JSON code block and nothing else.
Format:
```json
{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 triggers exclusion E2."
}
```
No extra keys. Ensure no trailing commas.
Wait: Is O09.291 a pregnancy code? It's "Supervision of pregnancy with other poor reproductive or obstetric history". It's an obstetric code. The spec says "Pregnancy (any O00-O9A code)". So yes.
Check if there is any nuance: The encounter is an "Obstetric visit". The diagnosis is O09.291. This is in the O00-O9A range. So excluded.
Thus answer is correct.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 triggers exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 767 tokens
We need to apply measure QM-CBP (Blood Pressure Control in Hypertension) to member 40120. The measurement year is 2026-01-01 to 2026-12-31.
First, determine denominator eligibility:
- Age: 18 through 85 years as of 2026-12-31. DOB 1994-05-30. As of 2026-12-31, age is 2026-1994 = 32 years (birthday already passed in May). So 32 is within 18-85.
- Event: at least one outpatient encounter with hypertension diagnosis (I10) on or between 2026-01-01 and 2026-06-30.
- 2026-02-24 Office visit, diagnosis I10. This is an outpatient encounter with I10 within the first half of the year. So event is satisfied.
- Continuous enrollment: enrolled full measurement year with no more than one gap of up to 45 days. The record says "Enrolment: 2026-01-01 through 2026-12-31, continuous." So no gaps. Eligible.
Now exclusions before numerator:
- E1: End stage renal disease (N18.6) or dependence on renal dialysis (Z99.2) any time on or before 2026-12-31. Record says no dialysis. No mention of N18.6. So no.
- E2: Pregnancy (any O00-O9A code) during the measurement year. Record shows 2026-06-16 Obstetric visit, diagnosis O09.291. Pregnancy confirmed. O09 is within O00-O9A. So E2 applies. Member is excluded.
- E3: Hospice or palliative care. No.
- E4: Died during measurement year. Alive at year end. No.
Since E2 is met, the member is excluded. For a member who is "excluded", we do not need to evaluate numerator.
Status: "excluded".
Reason: one sentence under 30 words naming specific criterion or date that decided it. For example: "Pregnancy with diagnosis O09.291 confirmed on 2026-06-16." Or "Met exclusion E2 due to pregnancy diagnosis O09.291 during the measurement year." Count words: "Met exclusion E2 due to pregnancy diagnosis O09.291 during the measurement year." That's 11 words. Under 30.
Check task: "status" string exactly one of compliant, non_compliant, excluded, not_eligible. "reason" string one sentence under 30 words. For QM-CBP, only these two keys. The task says: Required JSON keys: "status", "reason". It also says "Items drawn from measure QM-FUM require two further keys: met_7_day, met_30_day." This is QM-CBP, so not needed. So only status and reason.
Thus final JSON:
{
"status": "excluded",
"reason": "Pregnancy with diagnosis O09.291 confirmed on 2026-06-16 excludes the member."
}
Wait, check punctuation and wording. It says naming the specific criterion or date that decided it. So maybe: "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2." 10 words. Good.
Let's ensure no extra spaces or formatting issues.
Output must be exactly one fenced JSON code block and nothing else.
```json
{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2."
}
```
Double-check: Age does matter? Yes, but exclusion is before numerator. The member is excluded regardless. So status excluded.
Reason: Under 30 words, one sentence. "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2." That's fine.
I think that's the answer.json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100DeepSeek V4 Pro · DeepSeek7.7s · 484 out | 13.8s · 545 out | 11.7s · 327 out
Reasoning · 443 tokens
We are asked to evaluate member 40120 against measure QM-CBP.
First, determine denominator eligibility: age, event, enrollment.
Age: born 1994-05-30, as of 2026-12-31 age = 32 (2026-1994 = 32, since birthday is in May, so on 12/31 they are 32). Within 18-85, so ok.
Event: at least one outpatient encounter with I10 diagnosis between 2026-01-01 and 2026-06-30. Member has 2026-02-24 office visit with I10. That qualifies. (Also there is an obstetric visit with O09.291, but that's not I10, but we already have the event.)
Continuous enrollment: enrolled full year, no gaps, so ok.
So member is in denominator.
Now exclusions:
E1: ESRD (N18.6) or dialysis (Z99.2) - none in record.
E2: Pregnancy (any O00-O9A code) during measurement year. The encounter on 2026-06-16 has diagnosis O09.291, which is "Supervision of pregnancy with other poor reproductive or obstetric history" – that's in O00-O9A range (O09 is "Supervision of high risk pregnancy"). So E2 applies: pregnancy during measurement year. The exclusion criterion is "Pregnancy (any O00-O9A code) during the measurement year." The date 2026-06-16 is in 2026, so yes, member meets exclusion.
Thus member is excluded.
Exclusions are evaluated before numerator. So status: "excluded".
Reason: "Met exclusion E2: pregnancy diagnosis O09.291 on 2026-06-16 during measurement year." (less than 30 words)
For QM-CBP, no need for met_7_day/met_30_day.
Thus output: {"status": "excluded", "reason": "Met exclusion E2: pregnancy diagnosis O09.291 on 2026-06-16."}
Check formatting: JSON.json{
"status": "excluded",
"reason": "Met exclusion E2: pregnancy diagnosis O09.291 on 2026-06-16."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 498 tokens
We are given a measure QM-CBP for blood pressure control in hypertension. The measurement year is 2026. We have member 40120. Need to determine status: compliant, non_compliant, excluded, not_eligible. Reason: one sentence.
Evaluate eligibility:
- Age: DOB 1994-05-30, as of 2026-12-31: age 32 years. That's 18-85, okay.
- Event: at least one outpatient encounter with I10 between 2026-01-01 and 2026-06-30. Encounters: 2026-02-24 Office visit with I10, so qualifying event exists. Continuous enrollment: yes, 01-01 to 12-31 no gaps.
- Continuous enrolment: no gap >45 days, only one gap? Actually no gap. So eligible.
Now exclusions:
- E1: ESRD (N18.6) or dialysis (Z99.2) any time on or before 2026-12-31. Not present.
- E2: Pregnancy (any O00-O9A code) during measurement year. Encounter on 2026-06-16: O09.291 is supervision of pregnancy with other poor reproductive history or something. O09 is in O00-O9A range. So pregnancy code present during measurement year. That triggers exclusion E2. So member is excluded.
- E3: hospice/palliative care: none.
- E4: died: alive.
Thus member meets exclusion E2 (pregnancy). So status: excluded. Reason: "Member had pregnancy diagnosis O09.291 on 2026-06-16, meeting exclusion E2."
Now for QM-FUM? This task is for QM-CBP, not QM-FUM. The instructions said: "Items drawn from measure QM-FUM require two further keys ..." but this measure is QM-CBP, so we don't need met_7_day and met_30_day. So we only output status and reason.
Thus JSON:
{
"status": "excluded",
"reason": "Member had pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year, meeting exclusion E2."
}
Check: The reason must be under 30 words. That's 13 words. Good. No other keys.json{
"status": "excluded",
"reason": "Member had pregnancy diagnosis O09.291 on 2026-06-16 during the measurement year, meeting exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 292 tokens
We need answer per task. Need evaluate QM-CBP. We need output JSON with status, reason. Need assess eligibility/exclusions/numerator.
Member 40120 DOB 1994-05-30. Measurement year 2026. Age as of 2026-12-31: 32 (turns 32 in 2026). Within 18-85. Event: at least one outpatient encounter with I10 on or between 2026-01-01 and 2026-06-30. Encounter 2026-02-24 office visit I10 qualifies. Enrolment continuous full year no gaps. So in denominator unless exclusion.
Exclusions:
E1 ESRD/dialysis no.
E2 Pregnancy any O00-O9A during measurement year. Yes: 2026-06-16 Obstetric visit diagnosis O09.291, pregnancy confirmed. Required exclusion. Exclusions before numerator. So status excluded. Reason mention pregnancy exclusion E2 during measurement year. Need also for QM-FUM? Task says items from QM-FUM require two further keys. This is QM-CBP, not FUM. So only status and reason. Need ensure no extra keys. Status "excluded". Reason one sentence under 30 words. "Excluded due to pregnancy diagnosis O09.291 during the measurement year." That's under 30. Must be exact. Output JSON only.json{
"status": "excluded",
"reason": "Excluded due to pregnancy diagnosis O09.291 during the measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100GPT-5.6 Luna · OpenAI1.7s · 95 out | 2.1s · 103 out | 1.8s · 87 out
json{"status":"excluded","reason":"Excluded under E2 because pregnancy code O09.291 was documented on 2026-06-16."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{"status":"excluded","reason":"Excluded because pregnancy code O09.291 occurred during the 2026 measurement year."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{"status":"excluded","reason":"Pregnancy code O09.291 during the 2026 measurement year meets exclusion E2."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100Claude Haiku 4.5 · Anthropic29.2s · 2,503 out | 13.8s · 1,047 out | 24.3s · 2,282 out
Reasoning · 2,453 tokens
Let me work through this step by step against the QM-CBP measure specification.
**STEP 1: Check Eligibility for Denominator**
Age requirement: Age 18-85 as of 2026-12-31
- DOB: 1994-05-30
- Age on 2026-12-31: 2026 - 1994 = 32 years old
- ✓ Meets age requirement
Event requirement: At least one outpatient encounter with hypertension diagnosis (I10) on or between 2026-01-01 and 2026-06-30
- 2026-02-24: Office visit with diagnosis I10 - this is before 2026-06-30
- ✓ Meets event requirement
Continuous enrolment: Enrolled for full measurement year with no more than one gap up to 45 days
- Enrolment: 2026-01-01 through 2026-12-31, continuous
- ✓ Meets continuous enrolment requirement
So the member enters the denominator.
**STEP 2: Check Required Exclusions**
E1. End stage renal disease (N18.6) or dependence on renal dialysis (Z99.2) any time on or before 2026-12-31
- No dialysis mentioned
- No N18.6 or Z99.2 codes listed
- ✗ Does not meet E1
E2. Pregnancy (any O00-O9A code) during the measurement year
- 2026-06-16: Obstetric visit with diagnosis O09.291 (pregnancy related condition)
- This is during the measurement year (2026-01-01 through 2026-12-31)
- ✓ Meets E2 - EXCLUDED
E3. Hospice enrolment or palliative care anytime during the measurement year — "no hospice" is stated, so this isn't met.
E4. Death during the measurement year — member is confirmed alive at year end, so this isn't met either.
**RESULT**: With E2 satisfied via the O09.291 pregnancy code, and since exclusions take priority over the numerator per the spec ("a member meeting both an exclusion and the numerator is 'excluded', not 'compliant'"), this member is **EXCLUDED** from the denominator due to pregnancy status during the measurement year.
Now crafting a one-sentence reason under 30 words naming the deciding criterion/date. Something like "Pregnancy diagnosis (O09.291) on 2026-06-16 during measurement year triggers exclusion E2" works well — specific and concise.
Confirming O09.291 falls within the O00-O9A range specified in exclusion E2, so this diagnosis correctly satisfies that criterion.
Final answer:
Status: "excluded"
Reason: "Pregnancy diagnosis O09.291 during measurement year triggers exclusion E2."
This stays within the word limit while clearly citing the criterion and code.
6 words. Good enough.
I'll finalize: "Pregnancy diagnosis O09.291 on 2026-06-16 meets required exclusion E2."
But first I need to verify the member actually qualifies for the denominator before this exclusion matters. Checking denominator criteria: age 18-85 as of 2026-12-31 (32, satisfied), and at least one outpatient encounter with I10 diagnosis between 2026-01-01 and
2026-06-30 - confirmed via the 2026-02-24 encounter, and continuous enrollment through the full year with no gaps exceeding 45 days - also confirmed. So the member enters the denominator.
Checking exclusions: E1 no, E2 yes (pregnancy O09.291 on 2026-06-16), E3 no hospice, E4 alive at year end. E2 applies, so the member is excluded.
Status: excluded. Reason: pregnancy diagnosis O09.291 on 2026-06-16 satisfies exclusion E2 - needs to be one sentence, under 30 words, citing the specific date/criterion.
"Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2." - 8 words, clear and sufficient. This is my final wording.
Since exclusions are evaluated before the numerator, and E2 is satisfied, there's no need to assess numerator compliance at all - the member is excluded regardless.
Status: "excluded"
Reason: "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2."
json{
"status": "excluded",
"reason": "Pregnancy diagnosis O09.291 on 2026-06-16 meets exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 1,001 tokens
Let me work through this systematically.
MEMBER 40120:
- DOB: 1994-05-30
- Female
- Enrollment: 2026-01-01 through 2026-12-31, continuous (no gaps mentioned)
STEP 1: Check if member is in the denominator
**Age check (18-85 as of 2026-12-31):**
- DOB: 1994-05-30
- Age on 2026-12-31: 2026 - 1994 = 32 years old
- ✓ Within range (18-85)
**Event check (at least one outpatient encounter with I10 diagnosis on or between 2026-01-01 and 2026-06-30):**
- 2026-02-24: Office visit, diagnosis I10 ✓ (within the window 2026-01-01 to 2026-06-30)
- This meets the hypertension encounter requirement
**Continuous enrollment check:**
- Enrolled 2026-01-01 through 2026-12-31, continuous
- No gaps mentioned
- ✓ Meets the requirement
So far, the member meets denominator criteria.
STEP 2: Check for required exclusions (evaluate BEFORE numerator)
**E1. End stage renal disease (N18.6) or renal dialysis (Z99.2):**
- No ESRD or dialysis codes mentioned
- Not excluded on this basis
**E2. Pregnancy (any O00-O9A code) during measurement year:**
- 2026-06-16: Obstetric visit, diagnosis O09.291 (which is a pregnancy-related code)
- O09.291 falls within the O00-O9A range (this is a pregnancy supervision code for maternal care of patient with other maternal complications)
- Falls within the 2026 measurement year
- ✓ MEMBER IS EXCLUDED UNDER E2
**E3. Hospice or palliative care:**
- "No hospice" stated, so not excluded here
**E4. Died during measurement year:**
- "Member alive at year end" stated, so not excluded here
CONCLUSION: Member 40120 satisfies all denominator criteria but is excluded due to the pregnancy diagnosis (E2), which takes precedence over the numerator evaluation.
Excluded members are classified as "excluded" not "compliant" or "not_eligible" - the denominator was met but exclusion criteria override.
Reason (under 30 words): "Excluded due to pregnancy diagnosis (O09.291) on 2026-06-16, which meets required exclusion E2."
Output:
```json
{
"status": "excluded",
"reason": "Excluded due to pregnancy diagnosis (O09.291) on 2026-06-16, which meets required exclusion E2."
}
```
Checking format requirements again - one sentence, under 30 words, naming the specific criterion/date. Could tighten further:
"Pregnancy diagnosis (O09.291) during measurement year meets exclusion E2."
That's cleaner and more direct - I'll use this version.
json{
"status": "excluded",
"reason": "Pregnancy diagnosis (O09.291) during measurement year meets exclusion E2."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 2,243 tokens
Let me work through this systematically against the QM-CBP measure specification.
**Step 1: Check if member is eligible for the denominator**
Age requirement: Age 18 through 85 as of 2026-12-31.
- Date of birth: 1994-05-30
- Age at 2026-12-31: 2026 - 1994 = 32 years old. ✓ Meets age requirement.
Event requirement: At least one outpatient encounter with hypertension diagnosis (I10) on or between 2026-01-01 and 2026-06-30.
- 2026-02-24: Office visit with diagnosis I10. This is within the timeframe (2026-01-01 to 2026-06-30). ✓ Meets event requirement.
Continuous enrolment: Enrolled for the full measurement year with no more than one gap of up to 45 days.
- Record states: "2026-01-01 through 2026-12-31, continuous."
- This means no gaps. ✓ Meets enrolment requirement.
The member IS eligible for the denominator.
**Step 2: Check for required exclusions (evaluate before numerator)**
E1. End stage renal disease (N18.6) or dependence on renal dialysis (Z99.2) any time on or before 2026-12-31.
- Record states: "No hospice, no dialysis."
- No mention of ESRD. ✗ No exclusion.
E2. Pregnancy (any O00-O9A code) during the measurement year.
- 2026-06-16: Obstetric visit, diagnosis O09.291. This is a pregnancy-related code (O09.291 is "Supervision of pregnancy with history of gestational diabetes mellitus, first trimester").
- This falls within the measurement year (2026-01-01 through 2026-12-31). ✓ This exclusion applies.
This confirms the member meets exclusion E2.
**Step 3: Determine status**
Since exclusion applies, the member is pulled out of the denominator before the numerator is even scored.
Status should be "excluded" with reason: "Pregnancy diagnosis (O09.291) during measurement year." — under 30 words, cites the specific code/criterion.
Double-checking against the possible status codes, "compliant" applies only to denominator members meeting the numerator.
Status resolves to "excluded" since the member clears the denominator (age, event, enrollment) but trips exclusion E2 for pregnancy. The reason just needs to cite that criterion plus the deciding evidence.
"Pregnancy (O09.291) documented 2026-06-16, exclusion criterion E2." — concise, under 30 words, names both the code and the rule.
any O00-O9A code) during the measurement year.
Matching that phrasing, "Pregnancy (O09.291) during measurement year" mirrors the spec language directly and stays under the word limit while naming both the exclusion criterion and the specific code. That's my final answer:
```json
{
"status": "excluded",
"reason": "Pregnancy (O09.291) during measurement year."
}
```
I want to double check against the exclusion list once more, starting with E1 (ESRD/dialysis) to confirm E2 is indeed the pregnancy criterion.
E1 covers ESRD or dialysis dependence—the record explicitly says "No hospice, no dialysis," so this doesn't apply. E2 is pregnancy (O00-O9A codes) during the measurement year—O09.291 dated 2026-06-16 falls squarely within 2026, so this exclusion is met. E3 (hospice/palliative care) is ruled out by the same "no hospice" note. E4 (death) is ruled out since the member is alive at year end.
So E2 is the applicable exclusion. Now confirming O09.291 falls within the O00-O9A range—it's a pregnancy-related code, consistent with that block.
Denominator eligibility also checks out: member is 32 (within 18-85), has the required I10 outpatient encounter on 2026-02-24, and enrollment is continuous for the full year with no gaps.
With denominator criteria satisfied but E2 met, the final status is "excluded" due to pregnancy during the measurement year.
json{
"status": "excluded",
"reason": "Pregnancy (O09.291) during measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}100DeepSeek V3.2 · DeepSeek2.0s · 35 out | 3.0s · 35 out | 1.8s · 54 out
json{
"status": "excluded",
"reason": "Excluded due to pregnancy (O09.291) during measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Excluded due to pregnancy (O09.291) during measurement year."
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}json{
"status": "excluded",
"reason": "Excluded due to pregnancy (O09.291) during the measurement year.",
"met_7_day": false,
"met_30_day": false
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}67DeepSeek V4 Flash · DeepSeek3.3s · 424 out | 8.1s · 346 out | 29.8s · 1,489 out
Reasoning · 379 tokens
We need answer JSON only. Need apply QM-CBP. Need determine status.
Member DOB 1994-05-30, as of 2026-12-31 age 32? 2026-1994=32, birthday before Dec so 32. Eligible age 18-85 yes.
Event: outpatient encounter with hypertension diagnosis I10 between Jan1 and Jun30 2026. 2026-02-24 office visit diagnosis I10 qualifies. Continuous enrollment yes.
Numerator: most recent outpatient BP reading on/after date of qualifying encounter and on/before 2026-12-31. Readings: 2026-02-24 BP 144/92 (same date as qualifying encounter? "taken on or after date" yes, if reading at encounter) and 2026-10-28 Office visit I10 BP 126/76. Most recent is Oct 28, 126/76 below 140 and below 90, so numerator met. Exclusions: E2 pregnancy during measurement year: 2026-06-16 Obstetric visit O09.291 pregnancy confirmed. Pregnancy code O09.291? That's supervision of pregnancy, not necessarily "pregnancy" any O00-O9A code, yes E2. Thus exclusion removes from denominator before scoring. So status "excluded", reason pregnancy. Note instructions: exclusions evaluated before numerator. A member who meets both exclusion and numerator is "excluded". So status excluded.
Need keys: status, reason. This is QM-CBP not FUM, no boolean keys. Reason one sentence under 30 words naming specific criterion/date. "Pregnancy code O09.291 on 2026-06-16 meets exclusion E2, removing member from denominator." Need under 30 words. Fine.
Ensure JSON exactly.json{"status": "excluded", "reason": "Pregnancy code O09.291 on 2026-06-16 meets exclusion E2, removing the member from the denominator."}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 318 tokens
We need to evaluate QM-CBP. Member is 18-85 as of 2026-12-31? DOB 1994-05-30. As of 2026-12-31, age is 32 years. Good.
Event: at least one outpatient encounter with hypertension diagnosis I10 between 2026-01-01 and 2026-06-30. There is 2026-02-24 office visit with I10, so event established. Continuous enrolment full year, no gaps. So in denominator.
Exclusions: E1 ESRD/dialysis not present. E2 pregnancy during measurement year. There is obstetric visit 2026-06-16 with O09.291, pregnancy confirmed. That is pregnancy code O09.291 (pregnancy with history of... but O09 codes are pregnancy related). So E2 applies. Even though numerator met (BP 126/76 on 2026-10-28 after event), exclusion takes precedence. So status excluded.
Need met_7_day and met_30_day? That's for QM-FUM only. So not needed. The task says "Items drawn from measure QM-FUM require two further keys" so only for QM-FUM. So we don't include them.
Thus status "excluded", reason: pregnancy during measurement year (E2).
Check reason under 30 words. "Pregnancy (O09.291) during measurement year meets exclusion E2." That's fine.
Final JSON.{
"status": "excluded",
"reason": "Pregnancy (O09.291) confirmed during measurement year meets exclusion E2."
}Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "excluded",
"ok": true,
"present": true
}
],
"fabricated": false,
"abstained": false
}Reasoning · 1,449 tokens
We need to apply QM-FUM, but the prompt only gives one line "Office visit, diagnosis I10. BP 126/76." and "No hospice, no dialysis. Member alive at year end." This is likely a hypertension measure? QM-FUM? Need recall. QM-FUM is "Follow-Up after Emergency Department Visit for Mental Illness"? Or "FUM" might be "Follow-Up After Hospitalization for Mental Illness"? Actually QM-FUM: "Follow-Up After Emergency Department Visit for Mental Illness" or "Follow-Up After Hospitalization for Mental Illness"? There are HEDIS measures. FUM: Follow-Up After Emergency Department Visit for Mental Illness (FUM) - 7-day and 30-day follow-up after ED visit with primary diagnosis of mental illness. Numerator: follow-up visit within 7 days (or 30 days) after ED visit. Denominator: members with ED visit with primary diagnosis of mental illness, age, etc. Exclusion: death, hospice? Probably.
But the prompt says "Office visit, diagnosis I10. BP 126/76." I10 is essential hypertension, not mental illness. So likely not FUM. Maybe QM-FUM is something else? Let's think. QM-FUM might be "Follow-Up Care for Children Prescribed ADHD Medication" (ADD) no. Actually HEDIS: FUM = Follow-Up After Emergency Department Visit for Mental Illness. The diagnosis codes for mental illness include ICD-10 codes F01-F99, maybe also I10? No. I10 is hypertension. So not eligible for FUM.
Alternatively, QM-FUM could be "Follow-Up After Emergency Department Visit for People With High Blood Pressure"? Not likely. QM-* measures are from CMS? The prefix QM maybe "Quality Measures" from a specific set. But given diagnosis I10 and BP 126/76, and office visit, maybe it's about hypertension control? Actually measure might be "Hypertension Control" (BP controlled <140/90) but that's NQF 0018, not FUM. Maybe QM-FUM is a typo? The task says "Items drawn from measure QM-FUM require two further keys" so we need those keys regardless? But if not eligible, still include keys? The instruction: "Items drawn from measure QM-FUM require two further keys: met_7_day, met_30_day". So likely this is a FUM case. But the diagnosis I10 doesn't fit. Could be that the "Office visit" is the follow-up visit, and the diagnosis I10 is something else? The prompt: "Office visit, diagnosis I10. BP 126/76." Maybe the measure is about follow-up after ED for hypertension? Actually there is a measure "FUM" for mental illness, but the diagnosis might be something else? The given record is minimal. Let's search memory: There is a measure "Follow-Up After Emergency Department Visit for Substance Use" (FUA) maybe. I10 is hypertension. Not.
Maybe QM-FUM stands for "Follow-Up after an abnormal finding" no.
Given the record: "Office visit, diagnosis I10. BP 126/76." Could be a member with hypertension who had an office visit. The measure might be about "Controlling High Blood Pressure" where numerator is BP <140/90. BP 126/76 is controlled. But then status would be compliant. But "met_7_day" and "met_30_day" keys wouldn't apply. But the instruction says items drawn from QM-FUM require those keys. So it must be FUM. Let's re-read: "Items drawn from measure QM-FUM require two further keys" meaning if the measure is QM-FUM, include them. The task is part of a family "QM-FUM" likely. So we need to include those keys.
But then the diagnosis I10? Maybe the measure is "Follow-Up After Emergency Department Visit for Mental Illness" and the ED visit had a primary diagnosis of mental illness, but the follow-up office visit had diagnosis I10? The prompt only says "Office visit, diagnosis I10." That doesn't give the ED diagnosis. But denominator requires an ED visit with mental illness. No ED visit mentioned. So not eligible. But the line "BP 126/76" maybe suggests blood pressure check? Not relevant.
Maybe QM-FUM is actually "Hypertension Control" but the "FUM" acronym? Let's think: There is a measure "Follow-Up After an Emergency Department Visit for Hypertension"? Not standard.
Given the sparse info, likely the intended answer is not_eligible because there is no ED visit for mental illness. But we need to provide met_7_day and met_30_day as booleans. If not eligible, should they be null? The instruction says require two further keys, so include them as booleans. But if not applicable, maybe false? Typically for not eligible, we might set them to false or null? The spec says "met_7_day boolean" so must be boolean. We'll set to false because no event. But careful: if not eligible, "never enters denominator", so numerator not met. So false.
But wait, let's reconsider. Could the measure be "Follow-Up After Emergency Department Visit for Mental Illness" (FUM) and the given "Office visit, diagnosis I10" is the follow-up visit? For numerator, a follow-up visit within 7 days of ED discharge, with a diagnosis of mental disorder? The follow-up visit should have a mental health diagnosis, but I10 is hypertension. So even if there was an ED visit, the follow-up doesn't qualify because diagnosis is not mental illness. So not compliant. But denominator? The member had an ED visit? Not stated. So not eligible.
Given the record says "Office visit" not "ED visit". So definitely no ED visit. So not eligible.
Thus status: "not_eligible". Reason: No emergency department visit for mental illness in record; office visit for I10 hypertension does not enter FUM denominator.
But wait, the measure spec not given. We are to apply given measure. The task says "one measure specification and one member's record." But the prompt doesn't include the spec text. It only says "Items drawn from measure QM-FUM require two further keys". So we infer it's FUM. We need to decide based on that.
Maybe the test expects us to recognize that I10 is not a mental health diagnosis. So not eligible.
Let's output.
Required keys: status, reason, met_7_day, met_30_day.
Reason under 30 words. "No ED visit for mental illness; office visit with I10 hypertension does not meet FUM denominator." That's good.
met_7_day and met_30_day: false.
Let's produce.json{
"status": "not_eligible",
"reason": "No ED visit for mental illness; office visit with diagnosis I10 hypertension does not enter FUM denominator.",
"met_7_day": false,
"met_30_day": false
}
Grader detail
json{
"fields": [
{
"field": "status",
"want": "excluded",
"got": "not_eligible",
"ok": false,
"present": true
}
],
"fabricated": true,
"abstained": false
}