ahrq-picme-assessment

name	ahrq-picme-assessment
description	SOP: Use the AHRQ PiCMe framework to systematically assess a research gap across 6 dimensions
version	1.0.0
category	hypothesis-formation
type	sop
campaign	gap-prioritization
input	GapRecord — a single standardized gap record
output	PiCMeAssessment — independent scores across 6 dimensions, overall verdict, and research question draft
dependencies	{"skills":["subagent-spawning"]}

AHRQ PiCMe Assessment

Use the AHRQ PiCMe framework to systematically assess a research gap across 6 dimensions.

HARD-GATE

- Input must be a GapRecord with status: "complete" - All 6 dimensions (P/I/C/M/E + overall verdict) must be completed; none may be skipped - Each dimension must have an independent score (1-5) and a textual rationale - overall_verdict must be one of "strong" | "moderate" | "weak"

Pipeline

1. Precondition check: verify completeness of the input GapRecord; confirm the domain field is valid
2. Population (P): identify the target population/system/dataset the gap concerns; assess clarity of definition (1-5)
3. Intervention (I): identify the proposed intervention/method/solution; assess operationalizability (1-5)
4. Comparator (C): identify the comparison baseline (existing SOTA, no intervention, alternative approach); assess baseline reasonableness (1-5)
5. Metrics (M): identify the evaluation metrics; assess their measurability and relevance (1-5)
6. Evidence (E): assess the strength of existing evidence supporting the existence of the gap (1-5)
7. Overall verdict: judge overall quality from the mean of the 5 dimensions (strong ≥ 3.5 / moderate 2.5-3.4 / weak < 2.5); generate a research question draft
8. Output: return the PiCMeAssessment object

Output Format

{
  "gap_id": "gap_001",
  "dimensions": {
    "population": { "score": 4, "description": "Target population description", "rationale": "..." },
    "intervention"