hedis-measure-specification
Skill62 starsChanged 5 months agoMIT-0View on GitHub
Reasoning skill for HEDIS measure specification, enrollment logic, exclusion evaluation, NCQA audit requirements, and care gap prioritization. Use when the user asks about HEDIS measure definitions, denominator/numerator/exclusion logic, continuous enrollment rules, Star Rating impact, or care gap closure strategies.
1 other project uses a version of this.
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- Amazon-Quick/Amazon-Quick-official-catalogtheir own version, first seen Oct 28, 2026
Other versions1 project uses a version of this.
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Wrote their own version · 1
- Amazon-Quick/Amazon-Quick-official-catalog★ 50same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 47
Every HEDIS measure follows:
- Distinctive: line 103
Check the full measurement year for exclusion events
- Distinctive: line 106
Document which optional exclusions are applied
- Distinctive: line 173
Before submitting quality data affecting reimbursement or accreditation
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
HEDIS Measure Specification Reasoning
Overview
Structured interpretation of HEDIS quality measures: denominator/numerator logic, continuous enrollment evaluation, exclusion application, NCQA audit readiness, and Star Rating-weighted care gap prioritization. Based on NCQA HEDIS Technical Specifications (MY 2024).
Usage
- Activate when interpreting HEDIS measure denominator/numerator/exclusion logic
- Activate when evaluating continuous enrollment rules or allowable gaps
- Activate when prioritizing care gaps by Star Rating weight or SDOH barriers
Core Concepts
Response Format
Apply measure logic internally. Present the final specification, rate interpretation, or gap prioritization with justification. Do not narrate enrollment evaluation steps or exclusion logic walkthrough.
1. HEDIS Measure Structure
Every HEDIS measure follows:
Eligible Population (Denominator)
→ minus Exclusions
→ equals Eligible Denominator
→ Numerator (members who met the quality criteria)
→ Rate = Numerator / Eligible Denominator| Component | Definition | Example (CDC — Diabetes HbA1c) |
| Denominator | Members eligible based on age, diagnosis, enrollment | Age 18–75, diabetes (E11.x), continuously enrolled |
| Exclusions | Members removed due to clinical exceptions | Hospice, ESRD, organ transplant |
| Numerator | Members who met the quality criteria | HbA1c test performed during measurement year |
| Rate | Numerator ÷ (Denominator − Exclusions) | Percentage with HbA1c testing |
Five measure types: Process (service delivered), Outcome (clinical result), Structural (system capability), Patient experience (CAHPS), Utilization (resource consumption).
2. Continuous Enrollment Rules
| Rule | Definition |
| Measurement year | January 1 – December 31 of reporting year |
| Anchor date | Date member must be enrolled through (usually Dec 31) |
| Allowable gap | ≤45 days total gap permitted |
| Gap counting | Calendar days without coverage; multiple gaps summed |
| Enrollment source | Medical and/or pharmacy benefit, measure-dependent |
Enrollment Evaluation Decision Tree
Is the member enrolled on the anchor date?
├── NO → Exclude from denominator
└── YES
├── Total gap days during measurement year?
│ ├── ≤45 days → Continuously enrolled
│ └── >45 days → Exclude from denominator
└── Measure requires pharmacy benefit?
├── YES → Verify pharmacy enrollment separately
└── NO → Medical enrollment sufficient3. Exclusion Logic
| Category | Applies To | Condition |
| Hospice | All measures | Hospice benefit or encounter |
| Deceased | All measures | Death during measurement year |
| ESRD | Diabetes, kidney | N18.6, dialysis codes |
| Organ transplant | Diabetes, kidney | Z94.x |
| Pregnancy | BP, diabetes | O00-O9A |
| Frailty + advanced illness | Age 66+, multiple | BOTH conditions required |
Evaluation rules:
- Apply exclusions AFTER building the full denominator
- Check the full measurement year for exclusion events
- Frailty + advanced illness is compound — both must be present
- Hospice overrides all other logic
- Document which optional exclusions are applied
4. NCQA Audit Requirements
| Source | Priority | Use For |
| Administrative claims | Primary | Denominator, exclusions, process numerators |
| Electronic clinical data (ECDS) | Primary (ECDS measures) | Lab results, vitals |
| Supplemental data | Secondary | Fills claims gaps (HIE lab results) |
| Medical record review | Tertiary | Validation, hybrid measures |
Common Audit Findings
| Finding | Severity | Remediation |
| Supplemental data without source verification | High | Implement source validation |
| Enrollment gap calculation error | High | Revalidate against NCQA specs |
| Incorrect age calculation | Medium | Use age as of anchor date |
| Duplicate member counting | High | Deduplicate on member ID |
| Stale value sets | Medium | Update code sets annually |
5. Care Gap Prioritization
Prioritization Decision Tree
Is the measure triple-weighted for Star Ratings?
├── YES → High priority baseline
│ ├── Member high-risk (Charlson ≥3 or LACE ≥10)?
│ │ ├── YES → Critical priority — immediate outreach
│ │ └── NO → High priority — standard outreach
│ └── SDOH barriers (Z-codes, high ADI)?
│ ├── YES → Assign care coordinator
│ └── NO → Automated reminder sufficient
└── NO → Standard priority
├── >6 months remaining in measurement year?
│ ├── YES → Schedule in next outreach batch
│ └── NO → Escalate if feasible
└── Process measure (screening/test)?
├── YES → High closure probability — include
└── NO → Outcome measure — coordinate with PCPRate Interpretation
| Rate Range | Star Level | Action |
| ≥90th percentile | 5-star | Maintain current programs |
| 75th–89th | 4-star | Targeted improvement |
| 50th–74th | 3-star | Systematic outreach needed |
| 25th–49th | 2-star | Intensive intervention, root cause analysis |
| <25th | 1-star | Urgent remediation, leadership escalation |
Common Mistakes
- Wrong: Calculating age as of data extraction date → Right: Use measure-specific anchor date (typically Dec 31)
- Wrong: Applying exclusions before building the full denominator → Right: Build complete eligible population first, then subtract
- Wrong: Excluding members with ≤45-day enrollment gaps → Right: HEDIS permits ≤45-day allowable gap
- Wrong: Mixing process and outcome sub-measures (e.g., HbA1c testing vs HbA1c <8%) → Right: Treat as separate rates
- Wrong: Using prior-year value sets without updating → Right: Update ICD-10/CPT/HCPCS annually
- Wrong: Counting members multiple times across enrollment segments → Right: Deduplicate on member ID
- Wrong: Submitting supplemental data without source documentation → Right: Validate with date, value, provider before submission
- Wrong: Treating all measures with equal priority → Right: Prioritize triple-weighted Star Rating measures (3× impact)
When to Escalate
- Exclusion logic produces unexpected denominator drops (>10%)
- Before submitting quality data affecting reimbursement or accreditation
- Supplemental data sources change rates by >5 percentage points
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