ahrq-picme-assessment

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

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: ahrq-picme-assessment description: "SOP: 使用 AHRQ PiCMe 框架对研究 gap 进行 6 维度系统评估" version: 1.0.0 category: hypothesis-formation type: sop campaign: gap-prioritization input: "GapRecord — 单条标准化 gap 记录" output: "PiCMeAssessment — 6 维度独立评分、综合判定及研究问题草稿" dependencies: skills: - subagent-spawning


AHRQ PiCMe Assessment

使用 AHRQ PiCMe 框架对研究 gap 进行 6 维度系统评估。

HARD-GATE

- 输入必须是 status: "complete" 的 GapRecord - 6 个维度(P/I/C/M/E + 综合判定)必须全部完成,不得跳过 - 每个维度必须有独立评分(1-5)和文字说明 - overall_verdict 必须为 "strong" | "moderate" | "weak" 之一

Pipeline

  1. 前置检查: 验证输入 GapRecord 完整性;确认 domain 字段有效
  2. Population (P): 明确该 gap 涉及的目标人群/系统/数据集;评估定义清晰度(1-5)
  3. Intervention (I): 明确拟议的干预/方法/解决方案;评估可操作性(1-5)
  4. Comparator (C): 明确对比基线(现有 SOTA、无干预、替代方案);评估基线合理性(1-5)
  5. Metrics (M): 明确评估指标;评估指标的可测量性和相关性(1-5)
  6. Evidence (E): 评估现有证据对该 gap 存在性的支持强度(1-5)
  7. 综合判定: 基于 5 维度均值判定整体质量(strong ≥ 3.5 / moderate 2.5-3.4 / weak < 2.5);生成研究问题草稿
  8. 输出: 返回 PiCMeAssessment 对象

Output Format

{
  "gap_id": "gap_001",
  "dimensions": {
    "population": { "score": 4, "description": "目标人群描述", "rationale": "..." },
    "intervention": { "score": 3, "description": "干预/方法描述", "rationale": "..." },
    "comparator": { "score": 3, "description": "对比基线描述", "rationale": "..." },
    "metrics": { "score": 4, "description": "评估指标描述", "rationale": "..." },
    "evidence": { "score": 4, "description": "证据强度描述", "rationale": "..." }
  },
  "mean_score": 3.6,
  "overall_verdict": "strong",
  "research_question_draft": "研究问题草稿(1句)",
  "improvement_suggestions": ["建议1", "建议2"]
}
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill ahrq-picme-assessment
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