Tobacco use diagnosis is out of scope

**My Thought Process for QM-FUM Measure Evaluation**

Alright, my primary objective here is to determine if this member qualifies for the QM-FUM measure for the 2026 measure year. This involves meticulously checking their eligibility against the measure specification.

First, I noted the member's date of birth: 1957-10-10. This means in 2026, they will be approximately 68 years old. The measure requires the member to be 6 years or older, so this criterion is met. Next, I confirmed their enrollment period: continuous from January 1, 2026, through December 31, 2026. This period encompasses the date of the event and the required follow-up period (30 days after). So, basic eligibility criteria regarding age and enrollment appear to be satisfied.

Now, let's examine the event itself. The member had an emergency department (ED) visit on May 19, 2026, with a principal diagnosis of F17.210, which corresponds to nicotine dependence. This is the crucial point where I need to consult the measure specification carefully.

I've pulled up the QM-FUM measure specification, and it states that an eligible event is "an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between 2026-01-01 and 2026-12-01."

Here's where the specific diagnosis becomes critical. The member's principal diagnosis is F17.210. Looking at the exclusion within the measure specification, diagnoses starting with "F17.- tobacco use" are explicitly excluded from being considered qualifying principal mental health diagnoses. Therefore, the F17.210 diagnosis, being a form of tobacco use, does *not* meet the criteria for a qualifying event under this measure.

Because the ED visit itself is excluded from being a qualifying event due to the diagnosis, this member never actually enters the denominator for this measure. Consequently, their status must be "not_eligible."

My reasoning for this "not_eligible" status needs to be clear and concise. It should directly point to why the event doesn't count. I considered a few ways to phrase the reason:
* "The emergency department visit diagnosis F17.210 is tobacco use, which is excluded from qualifying events."
* "The member's emergency department visit principal diagnosis of F17.210 (tobacco use) is specifically excluded from qualifying events." (This one is good, concise at 18 words.)
* "The emergency department visit principal diagnosis of F17.210 is excluded, so the member never enters the denominator." (Also 18 words, and clearly explains the consequence.)

I've decided on the latter phrasing as it explicitly states the impact on the denominator. The member is not eligible. There are no other events to consider.

Therefore, the final output should reflect this "not_eligible" status. Since the member is not eligible, they could not have met the 7-day or 30-day follow-up requirements, so `met_7_day` and `met_30_day` will be `false`.

My final assessment and the resulting JSON structure are:
*   `status`: "not_eligible"
*   `reason`: "The emergency department visit principal diagnosis of F17.210 is excluded, so the member never enters the denominator."
*   `met_7_day`: `false`
*   `met_30_day`: `false`

**My Thought Process for Evaluating QM-FUM Compliance**

Alright, my task here is to determine the compliance status for member X regarding quality measure QM-FUM. I need to be meticulous and ensure my reasoning aligns perfectly with the measure's specifications.

First, I'm reviewing the member's basic information: DOB 1957-10-10. This means in 2026, they'll be around 68 years old, which satisfies the age requirement (>= 6 years). Their enrollment is also continuous throughout 2026, from January 1st to December 31st. This is good; no enrollment gaps to worry about.

Now, the critical part: the event. I see an emergency department visit on 2026-05-19. This date falls within the specified timeframe for qualifying events. However, the *principal diagnosis* for this visit is F17.210, which indicates nicotine dependence, specifically from cigarettes.

Here's where I need to be sharp. I'm recalling the exact wording for QM-FUM's denominator criteria for an "event": it specifies "an emergency department visit with a principal *mental health diagnosis* (F01-F99, *excluding F17.- tobacco use*)".

Comparing the member's actual principal diagnosis (F17.210) with the measure's exclusion clause, it's clear. F17.210 falls squarely within the excluded category of tobacco use. Therefore, this particular emergency department visit *does not qualify* as an event for the denominator of this measure.

Because the member has no qualifying events, they cannot meet the measure's requirements. This leads me to conclude their status is "not_eligible."

For the "reason" field, I need to be concise and accurate, explaining precisely why they aren't eligible. I'm thinking something along the lines of: "The principal diagnosis for the emergency department visit was F17.210 tobacco use, which does not qualify as a denominator event." Let's refine that slightly to be even clearer and more direct: "The emergency department visit was for tobacco use (F17.-), which does not qualify as an event for the denominator." That's about 20 words, which is good. Another option might be: "The member's only emergency department visit had a principal diagnosis of F17.210 tobacco use, which is excluded from qualifying events." That's 21 words. I'll go with the slightly more direct phrasing for the final output.

Since the status is "not_eligible," the subsequent compliance checks, "met_7_day" and "met_30_day," must both be `false`. They simply don't have a qualifying event to even begin tracking adherence to those follow-up periods.

To ensure I've covered everything, I'll double-check the rules again. Yes, the diagnosis F17.210 is explicitly excluded from the principal mental health diagnoses that would trigger a qualifying event. So, the member indeed never enters the denominator.

Finally, I'll assemble the required keys in the specified JSON format: "status," "reason," "met_7_day," and "met_30_day." My refined reason is concise and under the word count, and the `false` values for the follow-up metrics are logically derived from the ineligibility. The JSON structure looks correct.

**My Thought Process for Assessing Member 40405 Against the QM-FUM Measure**

Alright, let's break down how I arrived at the status for Member 40405 regarding the QM-FUM (Follow-Up After an Emergency Department Visit for Mental Illness) measure for the 2026 measurement year.

First, I'm looking at the core of the QM-FUM measure. I need to determine if an individual is eligible for this measure, and if so, whether they met the follow-up criteria. The measurement year is set as January 1, 2026, through December 31, 2026.

The **eligible population (the denominator)** is the crucial starting point. To be included, a member must meet several criteria related to an ED visit:
1.  **Age:** They must be 6 years or older on the date of the ED visit.
2.  **Event:** They must have an ED visit with a *principal mental health diagnosis*. The diagnostic codes specified are F01-F99, but with a very specific exclusion: *excluding F17.- tobacco use*. This exclusion is critical. The ED visit must occur between January 1, 2026, and December 1, 2026.
3.  **Continuous Enrollment:** They need to be continuously enrolled from the date of their ED visit through 30 days afterward.

The **numerator** is defined by whether a follow-up visit with a mental health practitioner occurred within 7 days (N7) or 30 days (N30) of the ED visit, excluding the same day.

Then, there are specific **exclusions (E1, E2)** that would remove someone from the denominator *even if they met the initial criteria*. These are: ED visit resulting in inpatient/observation, or death within 30 days.

Now, let's look at the specific member: Member 40405.
*   **DOB:** 1957-10-10.
*   **Event Date:** 2026-05-19.
*   **Age at Event:** This puts them at 68 years old (68.4 to be precise, but definitely 6+ years old). So, they meet the **age requirement**.
*   **Enrollment:** The member was enrolled from 2026-01-01 through 2026-12-31. This means for an ED visit in May 2026, they were continuously enrolled for the required 30 days post-visit. So, they meet the **continuous enrollment requirement**.
*   **Event:** The ED visit occurred on 2026-05-19. This date falls within the specified range of 2026-01-01 to 2026-12-01. So, this part of the **event requirement** is met.

The absolute linchpin here is the **diagnosis**. The member's principal diagnosis for the ED visit on 2026-05-19 is **F17.210 (nicotine dependence)**.

I immediately scan back to the "Eligible Population (Denominator)" criteria. It clearly states "principal mental health diagnosis (F01-F99, *excluding F17.- tobacco use*)".

Here's the critical logical step:
*   The member's diagnosis is F17.210.
*   The measure explicitly excludes *all* F17.- codes, which encompasses F17.210.
*   Therefore, the ED visit on 2026-05-19 *does not qualify* as an event with a principal mental health diagnosis *as defined by this measure*.

Because the core event definition (the ED visit with a qualifying diagnosis) is not met, the member **never enters the denominator** for this measure. This means they are not "eligible" for the measure's calculation. The term "not_eligible" is the appropriate status.

Since they are "not_eligible," the follow-up metrics are moot for calculation purposes. The instructions for QM-FUM state that for "excluded" or "not_eligible" members, both `met_7_day` and `met_30_day` should be reported as `false`.

Now, for the "reason." The instructions mandate a single sentence, under 30 words, that names the specific criterion or date that decided the outcome. The deciding factor here is the principal diagnosis of the ED visit and how it conflicts with the measure's specifications.

I need to be concise and precise. My initial thought is something like: "The member's ED visit diagnosis (F17.210) is excluded by the measure." That's good, but I can be slightly more formal and specific.

Let's refine it to clearly state *why* it's excluded and link it to the event. I'll aim to incorporate the date of the event for clarity, as the instructions suggest.

"The emergency department visit on 2026-05-19 had a principal diagnosis of F17.210, which is excluded from the eligible population criteria." This clearly identifies the event date, the diagnosis code, and the reason for exclusion based on the measure's criteria. It's also well under the 30-word limit (20 words).

So, to summarize my final output:

*   **Status:** `not_eligible` (because the ED visit diagnosis does not meet the criteria to enter the denominator).
*   **Reason:** "The emergency department visit on 2026-05-19 had a principal diagnosis of F17.210, which is excluded from the eligible population criteria." (Clear, concise, and specific).
*   **met_7_day:** `false` (as per instructions for "not_eligible").
*   **met_30_day:** `false` (as per instructions for "not_eligible").

This systematic approach, starting with the denominator definition and meticulously checking each criterion against the member's data, especially the exclusion for F17 codes, leads directly to the correct assessment. The key was recognizing that the diagnosis exclusion meant the member never qualified for the measure at all.

```json
{
  "status": "not_eligible",
  "reason": "The emergency department visit on 2026-05-19 had a principal diagnosis of F17.210, which is excluded from the eligible population criteria.",
  "met_7_day": false,
  "met_30_day": false
}
```

**My Thought Process on QM-FUM Eligibility for Member 40405**

Alright, let's break down my thinking process for evaluating member 40405 against the QM-FUM (Follow-up after Emergency Department Visit for Mental Illness) measure for the 2026 measurement year.

My primary objective is to determine if this member qualifies for the denominator of this measure. The core criteria I'm looking at are age, the occurrence of a qualifying emergency department (ED) visit with a specific type of diagnosis, and continuous enrollment throughout the measurement period.

First, I'll check the basic demographics and enrollment. The member, born on 1957-10-10, is continuously enrolled from 2026-01-01 to 2026-12-31. This means the enrollment criterion is met.

Next, I assess the age. The ED visit occurred on 2026-05-19. Calculating their age at that point (they were born in 1957), they are approximately 68 years old. The measure requires the member to be 6 years or older on the date of the ED visit. So, the age requirement is met.

Now, the crucial part: the ED visit itself and its diagnosis. The measure defines a qualifying event as an ED visit with a *principal mental health diagnosis* within the range of F01-F99, *but explicitly excluding codes starting with F17.- (tobacco use)*.

Looking at the member's history, they had an ED visit on 2026-05-19. The diagnosis for this visit was F17.210, which specifically denotes "nicotine dependence."

This is where the exclusion clause kicks in. The measure's criteria clearly state "excluding F17.- tobacco use." Since F17.210 falls directly within this excluded range, this ED visit *does not count* as a qualifying event for the denominator. Therefore, the member does not enter the denominator for this measure.

Because the member does not qualify for the denominator due to the excluded diagnosis, their status is designated as "not_eligible." This is a critical distinction from "non_compliant." "Not_eligible" means they never met the criteria to even be considered for compliance. Even though the member had a subsequent office visit with a LCSW on 2026-05-22, this follow-up is irrelevant if the initial qualifying event (the ED visit with a *mental health* diagnosis) never occurred according to the measure's specific definition.

Furthermore, the instructions stipulate that if a member is "not_eligible," both `met_7_day` and `met_30_day` must be reported as `false`. This is because compliance cannot be assessed if the member never entered the denominator in the first place.

So, to summarize my internal logic:
1.  **Age Check:** Member is 68 at the time of ED visit. **Pass.**
2.  **Enrollment Check:** Member has continuous enrollment for the measurement year. **Pass.**
3.  **Event Check:** The ED visit on 2026-05-19 is within the specified timeframe. However, the principal diagnosis, F17.210 (nicotine dependence), is explicitly excluded by the "excluding F17.- tobacco use" clause in the measure's definition of qualifying mental health diagnoses. **Fail (as a qualifying event).**
4.  **Eligibility Determination:** Since the ED visit did not meet the diagnostic criteria, the member never entered the denominator. Therefore, the status is **"not_eligible."**
5.  **Compliance Metrics:** As the member is "not_eligible," `met_7_day` and `met_30_day` are both set to **`false`**.
6.  **Reasoning for Status:** The primary reason is the specific exclusion of the F17.210 diagnosis from the set of eligible mental health diagnoses for the qualifying ED visit.

Based on this systematic evaluation, the final output is structured as follows:

*   **status:** "not_eligible"
*   **reason:** "The emergency department visit's principal diagnosis F17.210 is excluded from the qualifying mental health diagnoses under the tobacco use exclusion." (I aimed for conciseness and clarity here, directly referencing the diagnosis and the exclusionary clause).
*   **met_7_day:** `false`
*   **met_30_day:** `false`

This thought process ensures that each criterion is meticulously checked against the measure's specifications, leading to the correct determination of eligibility and subsequent reporting.

Alright, let's break down this member's record against the QM-FUM quality measure. My thought process here is to meticulously walk through each criterion, ensuring I capture all nuances and exclusions as per the measure's specifications.

First, I need to analyze the core member data. We're looking at Member ID 40405, born on October 10, 1957. Their enrollment period for 2026 is continuous, from January 1st to December 31st. This continuity is crucial for eligibility. The history shows an Emergency Department (ED) visit on May 19, 2026, with a principal diagnosis of F17.210 (Nicotine dependence), and they were discharged home. Following that, there was an office visit with a licensed clinical social worker on May 22, 2026. Importantly, the member was alive throughout the entire period under review.

Now, I need to evaluate this against the QM-FUM criteria, specifically focusing on the **ELIGIBLE POPULATION (denominator)**.

Let's start with **Age**. The ED visit occurred on May 19, 2026. The member was born in 1957. So, their age at the time of the visit was 2026 - 1957 = 69 years old. Since the criterion requires them to be 6 years or older, this condition is met.

Next, the **Event**. The measure specifies an ED visit with a principal mental health diagnosis from the F01-F99 range, but it *explicitly excludes* diagnoses within the F17.- range, which pertains to tobacco use. The member's ED visit on May 19, 2026, had a principal diagnosis of F17.210. Because this diagnosis falls squarely within the excluded F17.- category, this ED visit does *not* qualify as a denominator event. This is a critical point.

Then there's **Continuous Enrolment**. For the ED visit on May 19, 2026, the member needed to be continuously enrolled from that date through 30 days afterward, which would be June 18, 2026. Their stated enrollment is from January 1, 2026, to December 31, 2026, which clearly covers this required period. So, this criterion is also met.

However, given that the **Event** criterion was *not* met due to the specific exclusion of tobacco-related diagnoses, the member cannot be considered eligible for the measure. The diagnosis simply doesn't fit the required criteria for the denominator event. Therefore, the member is **not_eligible**.

Consequently, the follow-up office visit on May 22, 2026, becomes irrelevant to the measure's outcome, as the member never entered the denominator in the first place.

For the output, I need to format this clearly. The `status` will be "not_eligible". The `reason` needs to be concise and directly address why they aren't eligible. "The member's emergency department visit diagnosis of tobacco use is excluded from the denominator" perfectly captures this. As per the rules for a "not_eligible" status, both `met_7_day` and `met_30_day` should be set to `false`.

Double-checking the logic again:
*   **Measure:** QM-FUM. Confirmed.
*   **Eligible Population (denominator):**
    *   Age: 6+ (met). Confirmed.
    *   Event: ED visit with F01-F99, *excluding F17.-*. Member's diagnosis is F17.210, which *is* F17.-. Therefore, the event is *not* met. Confirmed.
    *   Enrolment: Continuous period met. Confirmed.
*   Since the event criterion is not met, the member is correctly classified as `not_eligible`. Confirmed.
*   The rule for `not_eligible` status dictates `met_7_day` and `met_30_day` must be `false`. Confirmed.

The logic is sound. I'm ready to construct the JSON response.

My thought process for evaluating member 40405 against the QM-FUM quality measure, "Follow-Up After an Emergency Department Visit for Mental Illness" for the 2026 measurement year, went like this:

First, I immediately focused on the core requirement: evaluating a member's record against a specific quality measure. I noted the measure, QM-FUM, and the precise measurement period: January 1, 2026, through December 31, 2026.

Then, I examined the provided member details: Member ID 40405, DOB October 10, 1957, and confirmed continuous enrollment throughout the entire measurement year. This established the basic demographic and enrollment context.

My next step was to dive into the member's history, specifically looking for the event that would trigger the measure: an Emergency Department (ED) visit. I saw the ED visit occurred on May 19, 2026. Crucially, I noted the principal diagnosis was F17.210, "Nicotine dependence, cigarettes, uncomplicated," and that the member was discharged home. I also confirmed they were alive throughout the period.

Now, I began the structured analysis, starting with eligibility for the denominator.

1.  **Age Check:** I calculated the member's age at the time of the ED visit. Born in 1957, on May 19, 2026, they would have been 68 years old (turning 69 later that year). Since the measure requires the member to be 6 years or older, this criterion was met.

2.  **Event Date Check:** The measure specifies an ED visit between January 1, 2026, and December 01, 2026 (note: the prompt had a typo and said 2026-12-01, but typically these measures have an end date of the end of the year or the month before the end of the year, I'll proceed assuming the provided date is correct. However, if it was meant to be 2026-12-31, the conclusion wouldn't change). The ED visit on May 19, 2026, fell well within this window. This criterion was met.

3.  **Event Diagnosis Check (The Critical Point):** This is where I hit the decisive factor. The QM-FUM measure clearly defines the qualifying ED visit by its principal diagnosis, which must be within the F01-F99 range, **but with an explicit exclusion for F17.- (tobacco use)**. I meticulously checked the member's principal diagnosis, F17.210. This code, as I know, falls squarely within the F17.- range. Therefore, this ED visit, despite occurring within the correct timeframe and with the member being of sufficient age, did *not* constitute a qualifying event for the denominator because the diagnosis was for tobacco dependence, which is specifically excluded.

At this point, my analysis solidified: the member was **not eligible** for the denominator because the ED visit's principal diagnosis did not meet the measure's criteria.

Because the member was not eligible for the denominator, the subsequent follow-up visit on May 22, 2026, became irrelevant for determining compliance with the measure. Similarly, the continuous enrollment, while noted, did not change the outcome. There was no need to even consider exclusions like inpatient stays or death, as the member never entered the eligibility pool for the measure.

Finally, I proceeded to formulate the JSON response, ensuring it accurately reflected my conclusion:

*   `status`: "not_eligible" – this clearly states the outcome.
*   `reason`: "The emergency department visit's principal diagnosis for tobacco use is explicitly excluded from the measure's denominator." – this is a concise and precise explanation, under 30 words, directly addressing the disqualifying factor.
*   `met_7_day`: `false` – for "not_eligible" members, these compliance flags must be false.
*   `met_30_day`: `false` – same as above.

I double-checked the measure's rules and my interpretation to ensure there were no misunderstandings, particularly around the F17.- exclusion. Everything confirmed that the member's specific ED diagnosis was the sole disqualifier. The JSON structure I arrived at is the correct representation of this evaluation.

Alright, let's break down this QM-FUM evaluation. My primary objective here is to determine if this particular member, identified as 40405, meets the criteria for the Follow-up After an Emergency Department Visit for Mental Illness (QM-FUM) quality measure for the 2026 measurement year.

First, I need to thoroughly examine the member's record. I've noted their identification number is 40405, and their date of birth is October 10, 1957. Crucially, their enrollment status is continuous throughout the entire measurement year, from January 1, 2026, to December 31, 2026. This is a good starting point, as continuous enrollment is a foundational requirement.

Looking at their history within this period, I see two key events: an Emergency Department (ED) visit on May 19, 2026, with a principal diagnosis of F17.210 (Nicotine dependence), and a subsequent office visit with a licensed clinical social worker on May 22, 2026. I've also confirmed the member was alive throughout the entire period, which is essential for the measure.

Now, I need to cross-reference this with the QM-FUM measure specification itself. This measure focuses on follow-up after an ED visit for a *mental illness*. The measurement year aligns with the member's enrollment, so that's good.

The core of the measure lies in defining the **denominator** – the eligible population. Here's where it gets specific:
1.  **Age:** The member must be 6 years or older on the date of the ED visit. The ED visit was on May 19, 2026. The member was born in 1957, making them 69 years old at the time of the visit. So, the age criterion is met.
2.  **Event:** This is the critical part. The measure requires an ED visit with a *principal mental health diagnosis*. The ICD-10 codes specified are F01-F99, but there's a significant exclusion: *tobacco use* (F17.-). The member's ED visit on May 19, 2026, had a principal diagnosis of F17.210. Since F17.210 falls squarely within the F17.- category, it is explicitly excluded by the measure's definition of a qualifying event. Therefore, this ED visit *does not* qualify as the trigger event for this measure.
3.  **Continuous Enrolment:** If the event *had* qualified, I would then check for continuous enrollment from the ED visit date through 30 days afterward. The member's continuous enrollment throughout 2026 would have satisfied this, but since the event itself is excluded, this check becomes moot for denominator inclusion.

Regarding **exclusions**, the member was discharged home, so admission or observation stay exclusions don't apply. They were also alive, so death exclusions are not relevant.

Since the member does not meet the criteria for the trigger event (the ED visit with a qualifying mental health diagnosis), they are not even included in the denominator. This means the **numerator** requirements (follow-up within 7 or 30 days) are not evaluated.

Therefore, my determination is that the member is **"not_eligible"**.

The primary **reason** for this is straightforward: the principal diagnosis for their ED visit was for tobacco use, which the QM-FUM measure specifically excludes from its definition of a qualifying mental illness event. I'll articulate this concisely: "The member is not eligible because the principal diagnosis for the ED visit is for tobacco use, which is an excluded diagnosis category."

Consequently, and as per the instructions for members who are "not_eligible," both `met_7_day` and `met_30_day` must be reported as `false`.

So, the final output I'll construct is a JSON object reflecting these findings.

```json
{
  "status": "not_eligible",
  "reason": "The member is not eligible because the principal diagnosis for the ED visit is for tobacco use, which is an excluded diagnosis category.",
  "met_7_day": false,
  "met_30_day": false
}
```
This captures the essence of my analysis: the member's situation doesn't align with the measure's core requirements due to the nature of their ED visit diagnosis, making them ineligible.

Let me analyze this member against the QM-FUM measure specification.

**Member 40405**
- DOB: 1957-10-10
- Enrolment: 2026-01-01 through 2026-12-31, continuous
- Age as of ED visit (2026-05-19): 68 years old (born 1957-10-10, so 68 as of May 2026). Age ≥ 6, so age criterion met.

**ED Visit:**
- Date: 2026-05-19
- Principal diagnosis: F17.210 — nicotine dependence, cigarettes, uncomplicated
- Discharged home (no inpatient admission or observation stay)

**Key question: Does F17.210 qualify as a mental health diagnosis for this measure?**

The measure specification says:
"Event: an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use)"

F17.210 falls under F17.- which is explicitly excluded. Tobacco use (F17.-) is excluded from the qualifying diagnoses.

So the ED visit does NOT qualify as an eligible event because the principal diagnosis is F17.210, which is a tobacco use diagnosis (F17.-), and F17.- is explicitly excluded.

Since there is no qualifying ED visit, the member never enters the denominator.

**Status: not_eligible**
**Reason:** The ED visit's principal diagnosis F17.210 (tobacco use) is explicitly excluded from qualifying diagnoses.

For QM-FUM, I also need:
- met_7_day: false (not eligible)
- met_30_day: false (not eligible)

Let me double-check:
- F17.210 is under F17.- (nicotine dependence), which is tobacco use. The measure says "excluding F17.- tobacco use". So yes, this diagnosis is excluded.
- Since the only ED visit has an excluded diagnosis, the member has no qualifying ED visit event.
- Without a qualifying event, the member never enters the denominator → not_eligible.

This is correct.

Let me analyze this task against the QM-FUM specification.

Member 40405:
- DOB: 1957-10-10, so age 68 as of 2026-05-19 (well over 6 years old).
- Enrolment: continuous all of 2026.
- ED visit 2026-05-19 with principal diagnosis F17.210 (nicotine dependence, cigarettes).

The measure's eligible population event: an ED visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use).

F17.210 is within F17.- (tobacco use), which is explicitly excluded from qualifying diagnoses. So this ED visit does NOT qualify as a denominator event.

Therefore, the member never enters the denominator → "not_eligible".

The follow-up visit on 2026-05-22 is present but irrelevant — the task family says: "A member who never enters the denominator is 'not_eligible' even if a compliance event is present in the record."

For QM-FUM items, met_7_day and met_30_day should be reported as false for "excluded" or "not_eligible" members. Wait — let me re-read: "For a member who is 'excluded' or 'not_eligible' under QM-FUM, report both as false."

Hmm, that's interesting. The follow-up visit on 2026-05-22 is 3 days after the ED visit (day 1 = 2026-05-20, so 2026-05-22 is day 3). So it would be within 7 days. But since the member is not_eligible, both must be reported as false per the task instruction.

Wait, let me check: does "Items drawn from measure QM-FUM require two further keys" — does this record count as "drawn from measure QM-FUM"? The task gives the QM-FUM specification, so yes, this is a QM-FUM task. So I need to include met_7_day and met_30_day.

Per the instruction: "For a member who is 'excluded' or 'not_eligible' under QM-FUM, report both as false."

So both false.

Status: "not_eligible"
Reason: The ED visit's principal diagnosis F17.210 falls under F17.- tobacco use, which is excluded from qualifying mental health diagnoses, so the visit never enters the denominator.

Reason must be under 30 words, one sentence.

"Principal diagnosis F17.210 is an F17.- tobacco use code, which the measure excludes from qualifying mental health diagnoses, so the ED visit never creates a denominator event."

That's about 27 words. Let me count: Principal(1) diagnosis(2) F17.210(3) is(4) an(5) F17.-(6) tobacco(7) use(8) code,(9) which(10) the(11) measure(12) excludes(13) from(14) qualifying(15) mental(16) health(17) diagnoses,(18) so(19) the(20) ED(21) visit(22) never(23) creates(24) a(25) denominator(26) event(27). 27 words. Good.

JSON:
{
  "status": "not_eligible",
  "reason": "Principal diagnosis F17.210 is an F17.- tobacco use code, which the measure excludes from qualifying mental health diagnoses, so the ED visit never creates a denominator event.",
  "met_7_day": false,
  "met_30_day": false
}

Let me work through this.

Measure QM-FUM: ED visit for mental illness.

Eligible population: age 6+ (member born 1957-10-10, so ~68 years old, eligible on age). Event: ED visit with principal mental health diagnosis F01-F99, excluding F17.- tobacco use, between 2026-01-01 and 2026-12-01.

The ED visit 2026-05-19 has principal diagnosis F17.210 — nicotine dependence. F17.- is explicitly excluded from qualifying diagnoses. So this visit does not qualify as an ED visit with principal mental health diagnosis for the denominator.

Therefore the member never enters the denominator: status "not_eligible".

Wait — but there's the note: "A member who never enters the denominator is 'not_eligible' even if a compliance event is present in the record." The office visit with LCSW on 2026-05-22 is a compliance event (3 days after), but since F17.- is excluded from the event definition, the member is not eligible.

Hmm, alternatively could argue "excluded" — but no: the F17.- exclusion is part of the eligible population definition (event definition), not one of the REQUIRED EXCLUSIONS (E1: inpatient/observation; E2: death). The visit was discharged home, no admission, no death. So the member is not_eligible, not excluded.

The glossary says exclusions remove from denominator; but here the member never enters the denominator because the principal diagnosis doesn't qualify. The spec says "F01-F99, excluding F17.- tobacco use" in the EVENT definition. So not_eligible.

Reason: "ED visit principal diagnosis F17.210 (tobacco use) does not qualify; F17.- excluded from denominator event." Under 30 words.

QM-FUM requires met_7_day and met_30_day keys; for not_eligible, both false.

Output:

```json
{
  "status": "not_eligible",
  "reason": "ED visit principal diagnosis F17.210 falls in the excluded F17.- tobacco-use range, so the visit does not qualify for the denominator.",
  "met_7_day": false,
  "met_30_day": false
}
```

Word count of reason: "ED visit principal diagnosis F17.210 falls in the excluded F17.- tobacco-use range, so the visit does not qualify for the denominator." — roughly 22 words. Fine.

We need answer JSON only. Need parse task. Measure QM-FUM. Need status, reason. Also for QM-FUM required keys met_7_day boolean, met_30_day boolean. For excluded/not_eligible report both false? Actually instructions: For a member who is "excluded" or "not_eligible" under QM-FUM, report both as false. Also if compliant or non_compliant? It says items drawn from measure QM-FUM require two further keys: met_7_day, met_30_day. For a member excluded or not_eligible report both as false. For compliant/non_compliant presumably indicate whether met 7 and/or 30. Need determine status.

Let's parse member record:
DOB 1957-10-10. Date of ED visit 2026-05-19. As of date of visit age = 2026-05-19 minus 1957-10-10 = 68 years old (since birthday Oct 10, in May 2026 not yet 69; turned 68 on Oct 10 2025). Age >=6 yes.
Event: ED visit with principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between 2026-01-01 and 2026-12-01.
Here principal diagnosis F17.210 nicotine dependence, cigarettes, uncomplicated. This is F17.- tobacco use, excluded from mental health diagnosis. So the ED visit does NOT have a principal mental health diagnosis included; it's excluded by the F17.- tobacco use exclusion. Thus it does not count as a denominator event. Member never enters denominator? The denominator event requires ED visit with principal mental health diagnosis F01-F99 excluding F17.-. Since F17.210 is within F17.- tobacco use, the visit is not a qualifying visit. Therefore no denominator event. The member is not_eligible? Status options: not_eligible = never enters denominator (age, event, or enrolment). Since event doesn't meet diagnostic inclusion (F17 tobacco excluded), not eligible. Need evaluate continuous enrolment? Enrolment 2026-01-01 through 2026-12-31 continuous, so continuous enrolment from visit through 30 days after (through 2026-06-18) is satisfied. But since event not qualifying, not in denominator. No exclusions? Exclusions E1/E2 require ED visit results in inpatient/observation or death within 30 days. None. But exclusions only apply to denominator events? "Required exclusions E1. The emergency department visit results in..." If no qualifying ED visit, exclusions not relevant. Member alive. Status: not_eligible because ED principal diagnosis is F17.210 nicotine dependence (tobacco use), excluded from qualifying mental health diagnoses.

Need met_7_day and met_30_day: For not_eligible, report both as false. Wait: member had office visit 2026-05-22 (3 days after ED 2026-05-19). Day after visit is day 1: 2026-05-20 day1, 05-21 day2, 05-22 day3. This is within 7 days and 30 days. But because not_eligible, per instruction, report both false. Also numerator not evaluated because not in denominator. Reason must name specific criterion or date that decided it. One sentence, under 30 words. Need mention ED visit diagnosis F17.210 is F17.- tobacco use, excluded from qualifying mental health diagnoses, so no denominator event.

Let's craft reason: "ED visit on 2026-05-19 had principal diagnosis F17.210 (tobacco use), which the measure excludes from F01-F99, so there is no qualifying denominator event." Count words: ED(1) visit(2) on(3) 2026-05-19(4) had(5) principal(6) diagnosis(7) F17.210(8) (tobacco(9) use),(10) which(11) the(12) measure(13) excludes(14) from(15) F01-F99,(16) so(17) there(18) is(19) no(20) qualifying(21) denominator(22) event.(23) Under 30. Good.

Status: "not_eligible". met_7_day: false. met_30_day: false.

Need output exactly one fenced JSON code block and nothing else. No preamble. JSON object with keys: status, reason, met_7_day, met_30_day. The order? Typically any. Use booleans false not strings.

Check nuance: event date 2026-05-19 between 2026-01-01 and 2026-12-01 inclusive? yes. Age on date of ED visit 68, >=6. Enrollment continuous. Diagnosis F17.210 nicotine dependence. F17.- includes nicotine dependence; tobacco use exclusion excludes all F17.- codes. The spec says "principal mental health diagnosis (F01-F99, excluding F17.- tobacco use)" So F17.210 is excluded, yes.

Could status be "excluded"? There is a required exclusion E1/E2 regarding ED visit resulting in inpatient/obs stay. But also the diagnosis exclusion is part of eligible population event definition, not a "required exclusion" (E1/E2 are required exclusions). The measure spec lists REQUIRED EXCLUSIONS E1, E2 only. The F17 exclusion is inside the event definition, not a required exclusion category. The status taxonomy includes "excluded" for meets a required exclusion, removed from denominator. Since F17 is not a required exclusion (E1/E2), it's an eligibility/denominator event criterion failure, so not_eligible. This matches "never enters the denominator (age, event, or enrolment)". Event (diagnosis not qualifying) => not_eligible. Good.

Need ensure JSON valid: strings with parentheses etc. Use double quotes. reason string includes "F17.210 (tobacco use)" maybe parentheses fine. No trailing commas. Use ISO date. Need maybe reason can't contain double quotes? We'll avoid inner double quotes. Use single quotes? In JSON string, single quotes are allowed as characters. But better avoid quotes. Example: "ED visit on 2026-05-19 had principal diagnosis F17.210, a tobacco use code excluded from F01-F99, so no qualifying denominator event." That is clear and avoids parentheses. Count: ED(1) visit(2) on(3) 2026-05-19(4) had(5) principal(6) diagnosis(7) F17.210,(8) a(9) tobacco(10) use(11) code(12) excluded(13) from(14) F01-F99,(15) so(16) no(17) qualifying(18) denominator(19) event.(20) Good.

Check if "tobacco use code" is accurate: F17.210 nicotine dependence, cigarettes, uncomplicated. F17.- is tobacco use; F17.210 is nicotine dependence, which is within F17.- (tobacco use). The spec says excluding F17.- tobacco use. It might call F17.- tobacco use, but F17.210 is nicotine dependence, still F17 category. Saying "tobacco use code" might be slightly imprecise, but F17.- is tobacco use. Actually F17.210 is nicotine dependence, cigarettes, not "tobacco use" code per se, but category F17 is "Nicotine dependence" in ICD-10? Wait ICD-10 F17 is "Nicotine dependence" (F17.- Nicotine dependence), not tobacco use? Actually F17 is Nicotine dependence; Z71.6 or F17? Let's check: ICD-10-CM F17.210 is Nicotine dependence, cigarettes, uncomplicated. F17 is "Nicotine dependence"; the measure says "excluding F17.- tobacco use". It calls F17.- tobacco use. So it's fine to refer as tobacco use exclusion. Could say "an F17.- code" instead: "principal diagnosis F17.210, an F17.- code excluded as tobacco use". Let's craft: "ED visit on 2026-05-19 had principal diagnosis F17.210, an F17.- tobacco use code excluded from F01-F99, so no qualifying denominator event." Count: ED(1) visit(2) on(3) 2026-05-19(4) had(5) principal(6) diagnosis(7) F17.210,(8) an(9) F17.-(10) tobacco(11) use(12) code(13) excluded(14) from(15) F01-F99,(16) so(17) no(18) qualifying(19) denominator(20) event.(21) Under 30.

Need maybe specify "never enters denominator" is status not_eligible. Good.

Let's check instruction: "For a member who is 'excluded' or 'not_eligible' under QM-FUM, report both as false." So met_7_day false, met_30_day false. Yes.

Let's ensure the output contract: Reply with exactly one fenced JSON code block and nothing else. Start with ```json and end with ```. No other text. Use JSON null if told empty; not here.

Double-check no other qualifying visits: only one ED visit. Office visit 2026-05-22 is follow-up with licensed clinical social worker (mental health practitioner) within 7 days. But because denominator event not qualifying, numerator irrelevant. Also is there any possibility that the ED visit is still an emergency department visit but with principal diagnosis F17.210; the event definition says "emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use)". Since F17.210 is excluded, the ED visit is not a mental health principal diagnosis. So no qualifying visit. The follow-up office visit cannot create a denominator event because denominator requires ED visit, not office. So not eligible.

Let's consider if the member had an ED visit but it was not a qualifying event, could the status be "excluded"? In measure logic, sometimes diagnoses within F01-F99 but F17 excluded is an exclusion? But the spec explicitly puts it in the event definition: "Event: an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between...". The taxonomy status definitions: "excluded: meets a required exclusion, so removed from the denominator" Required exclusions are E1 and E2 only. The F17 exclusion is not a required exclusion, it's part of denominator event definition. Therefore not_eligible. Yes.

One nuance: "Age: 6 years or older as of the date of the emergency department visit." DOB 1957-10-10, ED 2026-05-19: age 68. Good.

"Continuous enrolment: from the date of the emergency department visit through 30 days after, with no gaps." Enrollment 2026-01-01 through 2026-12-31, continuous. If ED visit non-qualifying, enrolment still fine, but irrelevant.

"Measurement year: 2026-01-01 through 2026-12-31." Follow-up office visit 2026-05-22 within measurement year. Good.

Need final answer: fenced code block. Let's produce exactly:

```json
{
  "status": "not_eligible",
  "reason": "ED visit on 2026-05-19 had principal diagnosis F17.210, an F17.- tobacco use code excluded from F01-F99, so no qualifying denominator event.",
  "met_7_day": false,
  "met_30_day": false
}
```

Check word count of reason: Let's count tokens by spaces maybe: "ED"1 "visit"2 "on"3 "2026-05-19"4 "had"5 "principal"6 "diagnosis"7 "F17.210,"8 "an"9 "F17.-"10 "tobacco"11 "use"12 "code"13 "excluded"14 "from"15 "F01-F99,"16 "so"17 "no"18 "qualifying"19 "denominator"20 "event."21. Under 30 words. Good.

Need no commentary. Ensure the code block uses ```json and closes ```. No extra text. Done.

We need answer JSON only. Let's parse task carefully.

We have measure QM-FUM: Follow-Up After Emergency Department Visit for Mental Illness. Measurement year 2026-01-01 to 2026-12-31.

Member record:
MEMBER 40405. DOB 1957-10-10.
Enrolment: 2026-01-01 through 2026-12-31, continuous.
History:
2026-05-19 ED visit, principal diagnosis F17.210, nicotine dependence, cigarettes, uncomplicated. Discharged home.
2026-05-22 Office visit with licensed clinical social worker.
Member alive throughout.

Need determine status among compliant/non_compliant/excluded/not_eligible. For QM-FUM also keys met_7_day boolean, met_30_day boolean. If excluded or not_eligible, both false.

Need decide denominator eligibility, exclusions, numerator, etc.

Let's analyze measure spec.

ELIGIBLE POPULATION (denominator)
- Age: 6 years or older as of date of ED visit.
- Event: an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between 2026-01-01 and 2026-12-01.
Visits after 2026-12-01 are excluded so follow-up window can close inside measurement year. Each qualifying visit counted separately.
- Continuous enrolment: from date of ED visit through 30 days after, with no gaps.

Record: ED visit 2026-05-19. Date of birth 1957-10-10. As of 2026-05-19, age = 2026 - 1957 = 69 (birthday 1957-10-10, before May 19? Actually in 2026, birthday hasn't occurred yet? DOB Oct 10; on May 19 2026, last birthday was 2025-10-10 making age 68, next birthday 2026-10-10 making 69. Wait if born 1957-10-10, as of 2026-05-19, they have not turned 69 yet (turns 69 on 2026-10-10). They are 68 years old. Either way, >=6. Age eligible.
- Event: ED visit with principal mental health diagnosis F01-F99, excluding F17.- tobacco use. The principal diagnosis is F17.210. That is F17.- (tobacco use / nicotine dependence). Exclusion in the diagnosis code range: F01-F99, excluding F17.- tobacco use. F17.210 is nicotine dependence, cigarettes, which is F17 code and specifically tobacco use. The spec says "excluding F17.- tobacco use". Does F17.210 represent tobacco use? F17 is "Nicotine dependence" in ICD-10, sometimes includes tobacco. The spec explicitly says F17.- tobacco use. F17.210 is nicotine dependence, cigarettes, uncomplicated. It is within F17.- and is tobacco/nicotine use. The measure is mental illness ED visit; tobacco use disorder is excluded from mental health diagnoses. Therefore this ED visit does NOT have a qualifying principal mental health diagnosis (because it's excluded F17.- tobacco use). Thus the event is not a qualifying ED visit. So does member ever enter denominator? The denominator event definition requires an ED visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use). The ED visit is F17.210, excluded, so not a qualifying visit. There's no other ED visit. Therefore the member never enters denominator -> "not_eligible". Wait, the status "not_eligible" is defined: never enters the denominator (age, event, or enrolment). Since the event is not qualifying due to excluded diagnosis, the member does not satisfy the denominator event criterion. It is not an age or enrolment issue, but "event" issue: no qualifying ED visit. Status = not_eligible.

But we must be careful: The measure specification says "Event: an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between 2026-01-01 and 2026-12-01." It defines denominator event. If the principal diagnosis is F17.210, it falls under F17.- tobacco use, so excluded from qualifying mental health diagnoses. Thus no denominator event. So member not eligible.

Now required exclusions: E1 and E2. But exclusions are evaluated before numerator for members in denominator? Actually the spec says "Exclusions are evaluated before the numerator. A member who meets both an exclusion and the numerator is 'excluded', not 'compliant'. A member who never enters the denominator is 'not_eligible' even if a compliance event is present in the record." Since not eligible, we do not apply exclusions? Wait exclusions are for denominator members? The task says status "excluded": meets a required exclusion, so removed from denominator. If never enters denominator, not_eligible. Required exclusions E1, E2 are exclusions from denominator. But if the event is not a qualifying ED visit, no denominator. There is no qualifying ED visit to result in inpatient admission? The visit resulted in discharged home, so E1 not met anyway. E2 death not met. But since not eligible, not_eligible. met_7_day and met_30_day: "For a member who is 'excluded' or 'not_eligible' under QM-FUM, report both as false." So we set both false.

Wait, let's double-check: Could the member be "excluded" because the ED visit is for tobacco use? The measure's eligible population explicitly excludes F17.- tobacco use from the principal mental health diagnosis. Does that mean it's an exclusion from the measure, or does it mean such visits are not denominator events? The wording: "Event: an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between..." That is a denominator inclusion criterion, not a required exclusion. The REQUIRED EXCLUSIONS section lists E1 and E2 only. The "excluding F17.- tobacco use" is part of the event definition (denominator). Since the principal diagnosis is F17.210, the visit is not a qualifying event, therefore the member does not enter the denominator. Status = not_eligible. Yes.

But let's test alternative: Could F17.210 be considered a mental health diagnosis? F17 is "Nicotine dependence". The spec says F17.- tobacco use. The record says "principal diagnosis F17.210, nicotine dependence, cigarettes, uncomplicated." Nicotine dependence is due to tobacco. It is definitely F17.- tobacco use. So excluded from F01-F99 mental health diagnoses. Therefore not a qualifying ED visit. not_eligible.

Need reason: one sentence, under 30 words, naming specific criterion or date that decided it. Must name specific criterion or date. Since it's not_eligible, reason could be: "ED visit on 2026-05-19 had principal diagnosis F17.210, an excluded F17 tobacco use code, so no qualifying denominator event." Let's count words: "ED visit on 2026-05-19 had principal diagnosis F17.210, an excluded F17 tobacco use code, so no qualifying denominator event." That's ~20 words. Need under 30 words. Name specific criterion or date. The date 2026-05-19 is there; criterion: principal diagnosis F17.210 excluded F17 tobacco use. Good.

Let's ensure age: Born 1957-10-10. On 2026-05-19 age 68, >=6. Enrolment continuous 2026-01-01 to 2026-12-31. ED visit 2026-05-19 is between 2026-01-01 and 2026-12-01. Continuous enrolment from date of ED visit through 30 days after: enrolment is continuous all year through 2026-12-31, so yes. But diagnosis invalidates event.

Follow-up visit on 2026-05-22 with licensed clinical social worker. If the ED visit had qualified, day after ED is day 1? Let's compute: ED visit 2026-05-19. Day 1 = 2026-05-20. Within 7 days means up to day 7 = 2026-05-26? Let's count: If day 1 = May 20, day 7 = May 26. Follow-up May 22 is day 3, within 7 and 30. So N7 and N30 met. But since not eligible, we must report met_7_day=false and met_30_day=false. The spec says "For a member who is 'excluded' or 'not_eligible' under QM-FUM, report both as false." So even though the record has a follow-up visit that would meet numerator if denominator, we set false. Important: "A member who never enters the denominator is 'not_eligible' even if a compliance event is present in the record." So yes.

But wait, let's verify if the follow-up visit is with a mental health practitioner. Licensed clinical social worker is a mental health practitioner. Office visit 3 days after. So if eligible, compliant. But not eligible -> not_eligible, met_7_day=false, met_30_day=false.

Need output exactly one fenced JSON code block, with required keys: status, reason, met_7_day, met_30_day. Since QM-FUM requires two further keys. So JSON object:

{
  "status": "not_eligible",
  "reason": "ED visit on 2026-05-19 had principal diagnosis F17.210, an excluded F17 tobacco use code, so no qualifying denominator event.",
  "met_7_day": false,
  "met_30_day": false
}

Check reason word count: "ED visit on 2026-05-19 had principal diagnosis F17.210, an excluded F17 tobacco use code, so no qualifying denominator event."
Words: ED(1) visit(2) on(3) 2026-05-19(4) had(5) principal(6) diagnosis(7) F17.210(8) an(9) excluded(10) F17(11) tobacco(12) use(13) code(14) so(15) no(16) qualifying(17) denominator(18) event(19). Plus comma separated. 19 words. Under 30. Good.

Need maybe use "F17.-" notation? The spec says excluding F17.- tobacco use. The diagnosis is F17.210. I can say "F17.210 (F17.- tobacco use)". But word count okay. Maybe: "ED visit on 2026-05-19 had principal diagnosis F17.210, excluded as F17.- tobacco use, so it is not a qualifying denominator event." Count: ED1 visit2 on3 2026-05-194 had5 principal6 diagnosis7 F17.2108 excluded9 as10 F17.-11 tobacco12 use13 so14 it15 is16 not17 a18 qualifying19 denominator20 event21. 21 words. Fine.

Need ensure JSON booleans are lowercase false, not strings. Use null? No, task says for excluded or not_eligible report both as false. So boolean false.

Let's double-check date of visit: 2026-05-19 is between Jan 1 and Dec 1? Yes, May 19 is before Dec 1. If it were after Dec 1, visits after 2026-12-01 are excluded so follow-up window can close inside measurement year. But May is fine.

Check continuous enrolment: Enrolment 2026-01-01 through 2026-12-31 continuous. The denominator requires continuous enrolment from date of ED visit through 30 days after. ED visit 2026-05-19, 30 days after is 2026-06-18. Enrolled continuously then. Satisfied. Wait, the visit is 2026-05-19, 30 days after is June 18, 2026 (since May has 31 days: May 19 + 30 days = June 18? Let's compute: Day 1 after is May 20. 30 days after the visit? "through 30 days after" means the period from visit date to 30 days after? The follow-up window is 30 days after the ED visit. The enrolment criterion says from date of ED visit through 30 days after, with no gaps. So they need coverage through June 18, 2026. They are covered all year. Good.

But denominator event requires the ED visit with principal mental health dx. Since dx is excluded, no denominator. So not_eligible.

Wait, there's nuance: The measure is "Follow-Up After an Emergency Department Visit for Mental Illness". The denominator event: "an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use)". The record says "principal diagnosis F17.210, nicotine dependence, cigarettes, uncomplicated." This is indeed a mental and behavioural disorder due to tobacco (F17). The spec excludes F17.- tobacco use. Is nicotine dependence, cigarettes considered "tobacco use"? Yes, cigarettes are tobacco. F17.210 is nicotine dependence, cigarettes. It's within F17 and is tobacco use. So excluded.

Could there be an argument that F17.210 is not "tobacco use" but "nicotine dependence"? The spec says "F17.- tobacco use". In ICD-10, F17 is "Nicotine dependence", which includes tobacco. The measure specification explicitly uses "F17.- tobacco use" as the descriptor for the excluded range. Thus F17.210 is excluded. No other mental health diagnosis is principal. So not eligible.

Check required exclusions E1 and E2: The ED visit resulted in discharged home, so no inpatient admission/observation stay. Alive throughout, so no death. So neither E1 nor E2. But exclusions only apply if in denominator. Since not in denominator, status not_eligible. Good.

Now output format: exactly one fenced JSON code block and nothing else. The code block must be:

```json
{
  "status": "not_eligible",
  "reason": "ED visit on 2026-05-19 had principal diagnosis F17.210, excluded as F17.- tobacco use, so it is not a qualifying denominator event.",
  "met_7_day": false,
  "met_30_day": false
}
```

Need to ensure no trailing text. Use $...$? No, plain JSON.

Double-check key names: status, reason, met_7_day, met_30_day. Yes.

Reason must be one sentence, under 30 words. The sentence ends with period. Good.

Should we mention "no qualifying denominator event" or "member never enters denominator"? The reason field is "one sentence, under 30 words, naming the specific criterion or date that decided it". It decided not_eligible because event criterion not met. Naming date 2026-05-19 and criterion principal diagnosis F17.210 excluded F17.- tobacco use. Good.

Wait, could status be "excluded" because the ED visit is for tobacco use, which is an exclusion from the measure? Let's read carefully: Under ELIGIBLE POPULATION (denominator), Event: an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between 2026-01-01 and 2026-12-01. This is part of the definition of the event. The REQUIRED EXCLUSIONS section is separate: E1 and E2. The task description says: "Exclusions are evaluated before the numerator. A member who meets both an exclusion and the numerator is 'excluded', not 'compliant'. A member who never enters the denominator is 'not_eligible' even if a compliance event is present in the record." It also says status "excluded": meets a required exclusion, so removed from the denominator. Required exclusions are E1 and E2 only. The F17 exclusion is in the denominator event definition, not a "required exclusion" in the Exclusions section. So it's a failure to satisfy denominator event, making them not_eligible. If the measure had an exclusion for tobacco use, it would be in Required Exclusions. Since it's not, it's an element of the event. You must have a principal mental health diagnosis that is not F17. If you have F17, you don't have a qualifying event; you are not in denominator. Yes.

Let's test if there is any possibility that the member is "non_compliant": If one erroneously thought F17.210 qualifies as mental health (maybe they think only F17.- tobacco use disorder? No, F17 is nicotine dependence, which is tobacco. Excluded). If it qualified, member had follow-up within 7 and 30 days (May 22 is day 3). That would be compliant. But because F17 excluded, not eligible. If someone thought F17 is allowed (not excluded), they'd say compliant. But spec explicit. So answer not_eligible.

Need to check the follow-up counting: "A visit on the same calendar day as the emergency department visit does NOT count." The follow-up is May 22, ED May 19, so different day. Day after is day 1 (May 20). May 22 is day 3. Within 7 days (days 1-7 = May 20-26). Meets N7 and N30. But we set false because not_eligible. Good.

One more nuance: The ED visit date is 2026-05-19. DOB 1957-10-10. Age as of date of service: In 2026, before Oct 10, age is 68. The denominator says "Age: 6 years or older as of the date of the emergency department visit." 68 >= 6. So age eligible. If DOB were after? No.

Now final answer: exactly one fenced JSON code block. Ensure no other text. Use two-space or four-space indentation? Any valid JSON. Just output:

```json
{
  "status": "not_eligible",
  "reason": "ED visit on 2026-05-19 had principal diagnosis F17.210, excluded as F17.- tobacco use, so it is not a qualifying denominator event.",
  "met_7_day": false,
  "met_30_day": false
}
```

Check reason length again: "ED visit on 2026-05-19 had principal diagnosis F17.210, excluded as F17.- tobacco use, so it is not a qualifying denominator event."
Words: ED(1) visit(2) on(3) 2026-05-19(4) had(5) principal(6) diagnosis(7) F17.210(8) excluded(9) as(10) F17.-(11) tobacco(12) use(13) so(14) it(15) is(16) not(17) a(18) qualifying(19) denominator(20) event(21). Good (<30). It names date and criterion. It is one sentence. Good.

Wait, is "F17.-" a word? Usually tokenized; not an issue.

Let's consider if we need to mention "principal diagnosis" vs "diagnosis". The event requires principal mental health diagnosis. The record says "principal diagnosis F17.210". Good.

Now produce final.

We need answer in JSON only. Need parse task: QM-FUM. Member record: DOB 1957-10-10. Enrolment continuous 2026-01-01 through 2026-12-31. History: 2026-05-19 ED visit, principal diagnosis F17.210, nicotine dependence cigarettes, uncomplicated. Discharged home. 2026-05-22 office visit with LCSW. Member alive throughout.

Need determine status among compliant, non_compliant, excluded, not_eligible. And reason one sentence <30 words naming specific criterion or date that decided it. For QM-FUM, additional keys met_7_day boolean, met_30_day boolean. For excluded or not_eligible, both false.

First, eligible population (denominator): Age 6+ as of date of ED visit. Event: ED visit with principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between 2026-01-01 and 2026-12-01. Each qualifying visit counted separately. Continuous enrolment from date of ED visit through 30 days after, no gaps.

Member's ED visit: 2026-05-19. Diagnosis principal is F17.210 (nicotine dependence). This is F17.- tobacco use, which is explicitly excluded from principal mental health diagnosis. So event does NOT qualify. Does member enter denominator? The eligible population event requires an ED visit with a principal mental health diagnosis F01-F99 excluding F17.- tobacco use. Since principal dx is F17.210, it's excluded by diagnosis. So no qualifying visit. There is another office visit 2026-05-22 with LCSW (mental health practitioner). But denominator event is ED visit with principal mental health dx. No ED visit qualifying. Therefore member never enters denominator => "not_eligible". Wait: is there any nuance: Age: 1957-10-10, as of 2026-05-19, age 68 (turns 68 in Oct 2026? Actually born Oct 10, 1957; on 2026-05-19, not yet 68? Wait 2026-1957 = 69? Let's compute: 2026 minus 1957 = 69. Birthday Oct 10. On May 19 2026, he is 68 years old (since birthday not yet occurred in 2026; last birthday Oct 10 2025 made him 68). Age 68, definitely >=6. So age not issue.

Enrolment continuous 2026-01-01 through 2026-12-31. Event date 2026-05-19, through 30 days after = 2026-06-18. Enrolment continuous yes. But event not qualifying because dx F17.210 excluded. So not_eligible.

Check exclusions: E1: ED visit results in inpatient admission or observation stay. Here discharged home; no. E2 death during 30 days; member alive. But exclusions evaluated before numerator only for denominator members. Not applicable if not_eligible. Reason: The ED visit's principal diagnosis F17.210 is tobacco use, excluded from qualifying mental health diagnoses, so no denominator event.

Need provide met_7_day and met_30_day false because not_eligible. Wait: For QM-FUM, if excluded or not_eligible, report both as false. Yes.

But let's consider if there is another possible interpretation: The ED visit principal diagnosis F17.210 nicotine dependence, cigarettes, uncomplicated. The measure says principal mental health diagnosis (F01-F99, excluding F17.- tobacco use). F17.- includes all codes under F17, so F17.210 is excluded. So not eligible. The office visit 2026-05-22 with LCSW is follow-up within 7 days? Let's see: ED visit 2026-05-19, counting day after as day 1. So day 1 = 2026-05-20. 7 days after: days 1-7 are 05-20 through 05-26? Wait count: day1=05-20, day2=05-21, day3=05-22, day4=05-23, day5=05-24, day6=05-25, day7=05-26. So 05-22 is within 7 days. It is with LCSW, mental health practitioner. But numerator requires follow-up after an ED visit (qualifying denominator event). Since no qualifying ED visit, numerator irrelevant. Even if there was a qualifying ED visit but F17 excluded, no.

Could there be an argument that the ED visit is an emergency department visit, but diagnosis is F17.210. The measure says "principal mental health diagnosis (F01-F99, excluding F17.- tobacco use)". Yes nicotine dependence is tobacco use, excluded. Therefore not_eligible.

Need reason string one sentence under 30 words naming specific criterion or date that decided it. Must be one sentence, under 30 words. Example: "The 2026-05-19 ED visit had principal diagnosis F17.210, a tobacco-use code excluded from the measure's qualifying mental health diagnoses." Count words: The(1) 2026-05-19(2) ED(3) visit(4) had(5) principal(6) diagnosis(7) F17.210,(8) a(9) tobacco-use(10) code(11) excluded(12) from(13) the(14) measure's(15) qualifying(16) mental(17) health(18) diagnoses.(19) Under 30. Good. It names date and criterion (F17 tobacco-use exclusion). Maybe "tobacco-use code excluded by the F17.- exclusion" etc. Need no extra.

Check output contract: exactly one fenced JSON code block and nothing else. Required keys: status, reason, met_7_day, met_30_day. For QM-FUM items require two further keys. If not_eligible, both false. JSON null? No, booleans false. Should we include met_7_day and met_30_day even though not required? Task says Items drawn from measure QM-FUM require two further keys. Yes include both. They are false. Use JSON booleans false, not "false". status "not_eligible". reason string.

Let's ensure no other keys. The object:
{
  "status": "not_eligible",
  "reason": "The 2026-05-19 ED visit had principal diagnosis F17.210, a tobacco-use code excluded from the measure's qualifying mental health diagnoses.",
  "met_7_day": false,
  "met_30_day": false
}
Wait reason says "measure's" maybe okay. Word count: The(1) 2026-05-19(2) ED(3) visit(4) had(5) principal(6) diagnosis(7) F17.210,(8) a(9) tobacco-use(10) code(11) excluded(12) from(13) the(14) measure's(15) qualifying(16) mental(17) health(18) diagnoses.(19) Under 30.

But let's double-check age requirement: Age 6 or older as of date of ED visit. DOB 1957-10-10. On 2026-05-19, age = 68 (as above). Yes.

Continuous enrolment: from date of ED visit through 30 days after, no gaps. Enrolment continuous 2026-01-01 through 2026-12-31. Yes covers 2026-05-19 to 2026-06-18. But because event not qualifying, not_eligible. Wait, does the denominator require continuous enrolment from date of ED visit through 30 days after. The member has continuous enrolment all year. Fine.

Now about "Each qualifying visit is counted separately." Not relevant.

Potential nuance: The ED visit principal diagnosis is F17.210, which is under F17.- (tobacco use). The exclusion says "excluding F17.- tobacco use". Does "F17.-" mean all codes starting with F17? In ICD-10, F17.210 is nicotine dependence, cigarettes, uncomplicated. Yes under F17. Excluded. The office visit with LCSW is a mental health practitioner. But no denominator event. So not_eligible.

Could the member be "excluded" because the ED visit was for tobacco use? No, exclusion E1/E2 are required exclusions for denominator events. The diagnosis exclusion is part of eligible population definition (denominator event), not a "required exclusion". The measure says: "Event: an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between...". Since dx is F17.210, it's not a qualifying event. Therefore never enters denominator -> not_eligible. This matches "A member who never enters the denominator is 'not_eligible' even if a compliance event is present in the record." The compliance event (office visit) is present but irrelevant because no qualifying ED. So not_eligible.

Check if there is any chance the F17.210 is considered a mental health diagnosis but tobacco use is excluded? The measure explicitly excludes F17.- tobacco use. So not a principal mental health diagnosis for the measure. Good.

Need final answer exactly fenced JSON code block. No preamble.

Let's prepare final. Ensure JSON block uses ```json ... ```. Use false not null. No trailing comma.

One more check: Did the task ask for met_7_day and met_30_day for QM-FUM. Yes. For a member who is excluded or not_eligible under QM-FUM, report both as false. So we report false. Good.

Let's finalize.

The user wants me to evaluate a member record against the QM-FUM measure specification.

Let me break down the measure:

**Measure QM-FUM**: Follow-up after an Emergency Department Visit for Mental Illness
- Measurement year: 2026-01-01 through 2026-12-31

**Denominator criteria:**
1. Age: 6 years or older as of the date of the ED visit.
2. Event: ED visit with principal mental health diagnosis (F01-F99, **excluding F17.- tobacco use**) between 2026-01-01 and 2026-12-01.
3. Continuous enrollment: from ED visit date through 30 days after, with no gaps.

**Required Exclusions:**
- E1: ED visit results in inpatient admission or observation stay of any length.
- E2: Death during 30 days following the visit.

**Numerator:**
- N7: Follow-up visit with mental health practitioner within 7 days after ED visit (day after = day 1)
- N30: Follow-up visit with mental health practitioner within 30 days after ED visit (day after = day 1)
- Same calendar day as ED visit does NOT count.
- Meeting N7 also meets N30.

**Member Record:**
- Member 40405
- DOB: 1957-10-10
- Enrollment: 2026-01-01 through 2026-12-31, continuous
- History:
  - 2026-05-19: ED visit, principal diagnosis F17.210, nicotine dependence, cigarettes, uncomplicated. Discharged home.
  - 2026-05-22: Office visit with licensed clinical social worker.
- Alive throughout.

**Analysis:**

First, check denominator eligibility:
- Age: Born 1957-10-10, ED visit on 2026-05-19. Age is 68, so definitely ≥ 6 years old.
- Event: ED visit on 2026-05-19. This is between 2026-01-01 and 2026-12-01. However, the principal diagnosis is F17.210. The specification says "principal mental health diagnosis (F01-F99, excluding F17.- tobacco use)". F17.210 is an F17 code, which is explicitly excluded from the qualifying diagnoses.
- Therefore, the ED visit does NOT meet the event criterion for the denominator.

Since the event criterion requires an ED visit with a principal diagnosis in F01-F99 excluding F17.-, and this visit has F17.210, the member never enters the denominator.

The member is "not_eligible" because the ED visit does not have a qualifying principal mental health diagnosis (it's excluded F17.-).

Wait, let me double-check. The specification says: "Event: an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use)".

F17.210 is explicitly a tobacco use disorder code under F17.-, so it is excluded.

Therefore, status should be "not_eligible".

The reason should mention the specific criterion: the diagnosis F17.210 is excluded from qualifying mental health diagnoses.

Required JSON keys:
- status: "not_eligible"
- reason: string under 30 words
- met_7_day: boolean (false for not_eligible/excluded)
- met_30_day: boolean (false for not_eligible/excluded)

Let me check if there are any nuances. The member had an office visit with a licensed clinical social worker on 2026-05-22. That is 3 days after 2026-05-19 (day 1 = 2026-05-20, day 2 = 2026-05-21, day 3 = 2026-05-22). So it would have met N7 and N30 if the ED visit had qualified. But it doesn't qualify.

Also, the visit was discharged home, so no inpatient admission (E1 doesn't apply). Member alive, so E2 doesn't apply. But exclusions are evaluated before numerator, and since the member isn't even in the denominator, "not_eligible" is correct.

Let me formulate the reason:
"ED visit principal diagnosis F17.210 is excluded tobacco use, not a qualifying mental health diagnosis."
Count words: ED(1) visit(2) principal(3) diagnosis(4) F17.210(5) is(6) excluded(7) tobacco(8) use,(9) not(10) a(11) qualifying(12) mental(13) health(14) diagnosis.(15) = 15 words. Good.

Or: "Principal diagnosis F17.210 is excluded tobacco use disorder." = 7 words. Good.

Let me make sure it's precise and cites the specific criterion/date.
"Principal diagnosis F17.210 excludes visit from denominator per tobacco exclusion."
That's 10 words.

Or simply: "ED visit principal diagnosis F17.210 is excluded tobacco use." = 9 words.

I think "ED visit principal diagnosis F17.210 is excluded tobacco use." is clear and under 30 words.

Wait, the prompt says: "A member who never enters the denominator is 'not_eligible' even if a compliance event is present in the record." This confirms my logic.

Now for the booleans: "For a member who is 'excluded' or 'not_eligible' under QM-FUM, report both as false."

So:
met_7_day: false
met_30_day: false

Let me construct the JSON.

```json
{
  "status": "not_eligible",
  "reason": "ED visit principal diagnosis F17.210 is excluded tobacco use.",
  "met_7_day": false,
  "met_30_day": false
}
```

Double-checking: The F17.210 is "nicotine dependence, cigarettes, uncomplicated". The measure explicitly excludes F17.- tobacco use. So yes, not eligible.

The output must be exactly one fenced JSON code block and nothing else.

I should verify the date format isn't needed in the reason, but the reason asks for "the specific criterion or date that decided it". I included the diagnosis code which is the specific criterion. I could include the date too, but it's not strictly necessary if the criterion is clear. However, to be safe: "ED visit on 2026-05-19 has excluded tobacco diagnosis F17.210." = 10 words. That's good too.

Actually, the instruction says "naming the specific criterion or date that decided it". I'll include both to be thorough but keep it concise.
"ED visit on 2026-05-19 has excluded tobacco diagnosis F17.210." = 10 words. Perfect.

Let me verify that F17.210 falls under F17.-? Yes, F17.210 is a subcode of F17.2, which is under F17. So F17.- excludes it.

Also, is there any chance that F17 is considered mental health but just excluded? Yes, it's in F01-F99 but explicitly excluded. So the reason should mention that it's excluded tobacco use.

Final JSON:
```json
{
  "status": "not_eligible",
  "reason": "ED visit on 2026-05-19 has excluded tobacco diagnosis F17.210.",
  "met_7_day": false,
  "met_30_day": false
}
```

This looks solid.

 We need to apply QM-FUM measure specification to the member record.

Measure: QM-FUM — Follow-up after an emergency department visit for mental illness.

Denominator requirements:
- Age: 6 years or older as of the date of the ED visit.
- Event: an ED visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between 2026-01-01 and 2026-12-01.
- Continuous enrollment: from the date of the ED visit through 30 days after, with no gaps.

Numerator:
- N7: follow-up visit with a mental health practitioner within 7 days after the ED visit, counting the day after as day 1.
- N30: follow-up visit with a mental health practitioner within 30 days after the ED visit.
- Same calendar day does NOT count.
- Member meeting N7 also meets N30.

Required exclusions:
- E1: ED visit results in an inpatient admission or observation stay of any length.
- E2: Death during the 30 days following the visit.

Member record:
- DOB 1957-10-10, so age on 2026-05-19 is 68. >6.
- Enrollment continuous through 2026.
- History:
  - 2026-05-19 ED visit, principal diagnosis F17.210, nicotine dependence, cigarettes, uncomplicated. Discharged home.
  - 2026-05-22 Office visit with licensed clinical social worker.
- Alive throughout.

First, check denominator event. The diagnosis is F17.210. The specification says principal mental health diagnosis (F01-F99, excluding F17.- tobacco use). The diagnosis F17.210 is specifically excluded because it's F17.- tobacco use. Therefore, the ED visit does not qualify as a denominator event.

Since there is no qualifying denominator event, the member is not_eligible. 

We must also set met_7_day and met_30_day to false because the member is not_eligible under QM-FUM.

Status: "not_eligible".
Reason: needs to be one sentence, under 30 words, naming the specific criterion or date that decided it. Something like: "ED visit on 2026-05-19 had principal diagnosis F17.210, which is excluded from the mental health diagnosis range." Or "Principal diagnosis F17.210 is excluded from the eligible mental health diagnoses." Let's count words: "Principal diagnosis F17.210 is excluded from the eligible mental health diagnoses." That's 10 words. Good. Or "ED visit principal diagnosis F17.210 falls under excluded F17.- tobacco use." Let's be precise.

Need to ensure under 30 words. Let's draft: "The emergency department visit on 2026-05-19 had an excluded principal diagnosis F17.210." That's 11 words. Good.

Wait, the task says "naming the specific criterion or date that decided it". So naming the date and the fact that diagnosis is excluded is fine.

Also need to check if any other ED visits? No. Only one.

So status: not_eligible.
met_7_day: false.
met_30_day: false.

Double-check: Could the office visit on 2026-05-22 count? No, because there is no qualifying ED visit in the denominator. So not eligible.

Therefore final JSON:

{
  "status": "not_eligible",
  "reason": "The emergency department visit on 2026-05-19 had an excluded principal diagnosis F17.210.",
  "met_7_day": false,
  "met_30_day": false
}

Make sure no extra keys. Must be exactly one fenced JSON code block and nothing else.

Let's verify word count: The(1) emergency(2) department(3) visit(4) on(5) 2026-05-19(6) had(7) an(8) excluded(9) principal(10) diagnosis(11) F17.210.(12) 12 words. Under 30.

Everything seems correct.

One nuance: the prompt says "Event: an emergency department visit with a principal mental health diagnosis (F01-F99, excluding F17.- tobacco use) between 2026-01-01 and 2026-12-01." The diagnosis is F17.210, which is indeed in F17.- and is tobacco use. So excluded. Not eligible.

Also check continuous enrollment: yes, but irrelevant.

Exclusions: E1 and E2 do not apply.

So final answer is as above.