Individual skill

ehr-quality-governance

Prepare normalized EHR quality-governance JSON packets against a simulated read-only FHIR-like API. Use when the task involves duplicate merge readiness, referral coordination, care transition packets, duplicate review with ServiceRequest validation, or batch referral audits. The skill covers the full endpoint catalog, ICD-10 validation, duplicate detection, clinical list normalization, document/audit evidence selection, provider directory lookups, and standardized output conventions (sorted arrays, enum values, normalized keys).

experiments/codex_skill_creator_comparison_deepseek_v4_pro_max/reports/skills/task_group_015/fewshot/codex/fewshot_attempt_02/SKILL.md

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Last checked: Nov 11, 2026

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Repository stars (not skill ratings): 121
Repository last updated: Oct 29, 2026
License: Apache-2.0

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# EHR Quality Governance

## Overview

This skill covers preparing normalized JSON packets for EHR quality-governance workflows against a simulated read-only FHIR-like API at the URL provided in the task prompt as `<TASK_ENV_BASE_URL>`.
The five task families are:

1. **Duplicate merge readiness** — verify duplicate candidates, build canonical merge targets, compute clinical-key unions, identify evidence IDs, and produce a merge packet.
2. **Referral coordination** — reconcile a referral against the active chart, validate ICD-10 codes, assess allergy/documentation/authorization readiness, and select normalized referral-letter field values.
3. **Care transition handoff** — assemble active clinical lists, select recent handoff encounters, identify the latest immunization and applicable disclosure, flag risks, and assess packet readiness.
4. **Duplicate review + ServiceRequest validation** — evaluate a duplicate candidate, validate the SBAR coverage and quality signals of a draft ServiceRequest.
5. **Batch referral audit** — scan a referral batch for invalid/out-of-range codes, laterality/narrative mismatches, duplicate groups, insurance anomalies, and assign tiered action plans.

## General Methodology