evidence-based-prioritization

Research

Strategy: evidence-strength-based AHRQ PiCMe assessment — drive gap prioritization with the quality of literature evidence

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Evidence-Based Prioritization

Evidence-strength-based prioritization: use the six dimensions of the AHRQ PiCMe framework to systematically assess the quality of the literature evidence behind each gap, surfacing the gaps where evidence is weakest and impact is greatest.

When to Use

Gaps come from rigorous literature review (with explicit citation support)
You need to explain prioritization decisions to academic peers or funding agencies
The research domain has a mature evidence-grading system (medicine, biology, some CS subfields)
You want to prioritize attacking the gaps with the "largest evidence void" rather than the "most popular" ones

Thinking Framework

Core principle: a gap's priority depends not only on how important it is, but also on how weak the existing evidence is. The weaker the evidence and the higher the importance, the higher the priority.

The AHRQ PiCMe six-dimension assessment framework:

Population (P): how well-defined is the population/system this gap affects? How broad is the coverage?
Intervention (I): what is the evidence quality of existing interventions/methods? (RCT > observational > expert opinion)
Comparator (C): is there a reasonable control baseline? Is the lack of a control itself a gap?
Metrics (Me): are the outcome metrics standardized? Is the absence of metrics part of the gap?
Evidence Strength (E): consistency, sample size, and methodological rigor of existing evidence
Evidence Gap (G): among the five dimensions above, which has the scarcest evidence?

Final score = importance score × (1 − evidence sufficiency). Gaps with more sufficient evidence get lower priority (because others are already working on them).

Key insight: this framework naturally favors "neglected important problems" over "popular but already crowded problems."

Budget Gate

Tier	Number of gaps	PiCMe dimensions	Literature check	Final output
S	3–8	all 6 dimensions	≥2 supporting references per gap	ranking table + evidence-void report
M	9–15	all 6 dimensions	≥3 supporting references per gap	ranking table + evidence-void report + attack suggestions for top 3 gaps
L	16–20	all 6 dimensions	≥5 supporting references per gap	ranking table + detailed evidence map + attack suggestions for top 5 gaps

Default Reference Flow

Call the gap-normalization SOP: standardize the gap format and extract the list of supporting references for each gap
Call the ahrq-picme-assessment SOP: run the six-dimension assessment on each gap
Call the importance-scoring SOP: assess importance independently (not influenced by evidence strength)
Call the scoring-matrix-construction tactic: build a gap × PiCMe-dimension matrix
Compute the composite score: importance × (1 − mean evidence sufficiency)
Call the priority-synthesis SOP: produce the final ranking + evidence-void summary

context-checkpoint

After each round, record:

The PiCMe assessment matrix (gap × 6-dimension scores)
The supporting-reference list for each gap (with evidence grade)
The composite evidence-sufficiency scores
The final priority ranking (with scoring formula)

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
hypothesis-formation-scoring-matrix-construction	Tactic: orchestrate multi-dimensional scoring SOPs to build a comprehensive assessment matrix for all gaps

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
gap-normalization	SOP: Unify gaps from different sources into the standard GapRecord format
priority-synthesis	SOP: synthesize all scoring data into a final gap priority list and attack-path suggestions