By name: clinical-guideline-matching description: Match patient cases to applicable evidence-based clinical guidelines and protocols with gap analysis and recommendation generation. Use when evaluating treatment plans against clinical standards, performing guideline adherence reviews, supporting clinical decision-making, or identifying evidence-based treatment options.
metadata: display_name: "Clinical Guideline Matching" short_description: "Match patients to evidence-based clinical guidelines" default_prompt: "Optimize my clinical guideline matching and suggest the best next steps" version: "1.0.0" tags: - healthcare
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Clinical Guideline Matching
Overview
Systematically match patient clinical profiles to applicable evidence-based guidelines (AHA/ACC, NCCN, ADA, USPSTF, IDSA, etc.), identify applicable recommendations, assess adherence, and highlight deviations with clinical rationale. This skill supports clinical decision support, quality reporting, peer review, and care standardization initiatives.
When to Use
- Evaluating a treatment plan against current clinical guidelines
- Identifying which guidelines apply to a patient condition set
- Performing guideline adherence audits for quality programs (MIPS, HEDIS)
- Generating clinical decision support alerts
- Supporting peer-to-peer reviews with evidence-based references
- Preparing clinical justification documentation
Required Inputs
| Input | Description | Format |
|---|---|---|
| Patient clinical profile | Diagnoses, demographics, labs, vitals | Structured object |
| Active treatment plan | Current medications, procedures, referrals | Structured list |
| Guideline scope | Specific guideline set or "all applicable" | String or array |
| Review context | CDS alert, quality review, peer review | Enum string |
Methodology
Step 1: Guideline Identification
Match patient conditions to applicable guideline sets:
- Map each active ICD-10 diagnosis to guideline-covered conditions
- Consider patient demographics (age, sex, comorbidities) for guideline applicability
- Rank guidelines by relevance and recency (prefer most current edition)
- Identify overlapping or conflicting guidelines and note prioritization
Guideline Source Priority:
- Specialty society guidelines (AHA, NCCN, ADA, etc.)
- USPSTF recommendations (preventive services)
- CMS National Coverage Determinations (NCDs)
- Local Coverage Determinations (LCDs)
- Institutional protocols
Step 2: Recommendation Extraction
For each applicable guideline, extract relevant recommendations:
- Class of Recommendation (CoR): I (strong), IIa (moderate), IIb (weak), III (no benefit/harm)
- Level of Evidence (LoE): A (multiple RCTs), B-R (randomized), B-NR (non-randomized), C-LD (limited data), C-EO (expert opinion)
- Specific action items: diagnostics, therapeutics, monitoring, referrals
- Contraindications and precautions: patient-specific factors that modify recommendations
Step 3: Adherence Assessment
Compare current treatment plan against guideline recommendations:
Adherence Classification:
- ADHERENT: Current plan aligns with guideline recommendation
- PARTIAL: Some elements present, others missing
- NON-ADHERENT: Plan deviates from guideline without documented rationale
- NOT APPLICABLE: Guideline recommendation excluded by patient factors
- CONTRAINDICATED: Guideline recommendation inappropriate for this patient
Step 4: Gap Analysis
Identify unaddressed guideline recommendations:
- Recommended diagnostics not ordered
- First-line therapies not initiated or attempted
- Monitoring intervals not met
- Recommended referrals not placed
- Preventive measures not addressed
Step 5: Recommendation Generation
Produce actionable clinical recommendations:
- Prioritize by clinical urgency and evidence strength
- Include specific medication names, doses, and frequencies where guideline-specified
- Note patient-specific modifications (renal dosing, drug interactions, allergies)
- Provide guideline citation with section reference for each recommendation
Output Specification
The output report includes:
applicable_guidelines: guideline_name, issuing_body, edition_year, applicability_reason, and a list of recommendations each containing recommendation_id, text, class (I/IIa/IIb/III), level_of_evidence (A/B-R/B-NR/C-LD/C-EO), adherence_status, current_plan_evidence, gap_detail, and suggested_action
gap_summary: total_recommendations_evaluated, counts by adherence status, adherence_rate percentage, and priority_gaps with gap description, guideline_source, evidence_strength, clinical_urgency (high/medium/low), and suggested_intervention
conflicts: when multiple guidelines apply, list the conflicting guidelines, describe the issue, and provide a resolution_approach
Analysis Framework
Guideline-Condition Mapping (Common)
| Condition Category | Primary Guidelines |
|---|---|
| Heart failure | AHA/ACC HF Guidelines, HFSA |
| Diabetes mellitus | ADA Standards of Care, AACE |
| Hypertension | AHA/ACC HTN Guideline |
| Cancer (by type) | NCCN Clinical Practice Guidelines |
| Infectious disease | IDSA Practice Guidelines |
| Preventive care | USPSTF A/B Recommendations |
| Chronic kidney disease | KDIGO Guidelines |
| COPD / Asthma | GOLD, GINA Guidelines |
Evidence Strength Hierarchy
Recommendations with higher class and evidence level take priority in gap analysis:
- Class I, Level A — strongest (must-do based on robust evidence)
- Class I, Level B-R — strong with good evidence
- Class IIa, Level A/B — reasonable with supporting evidence
- Class IIb — may be considered
- Class III — not recommended (harm or no benefit)
Examples
Input: 65-year-old male, HFrEF (EF 25%), DM2, CKD Stage 3b, on lisinopril 20mg, metoprolol succinate 50mg, metformin 1000mg BID.
Guideline Match (abbreviated):
- AHA/ACC HF Guideline (2022): Class I recommendation for ARNI (sacubitril/valsartan) over ACEi in HFrEF — NON-ADHERENT (patient on ACEi, not ARNI). Suggested: Switch lisinopril to sacubitril/valsartan with 36-hour washout
- AHA/ACC HF: Class I for SGLT2i in HFrEF — NON-ADHERENT. Suggested: Add dapagliflozin 10mg (also benefits CKD per KDIGO)
- ADA Standards 2025: Metformin caution with eGFR <30, monitor renal function — ADHERENT (CKD 3b, eGFR likely 30-44, metformin acceptable with monitoring)
- AHA/ACC HF: Target dose beta-blocker — PARTIAL (metoprolol 50mg, target 200mg). Suggested: Uptitrate as tolerated
Guidelines
- Use the most current guideline edition — always specify the year to avoid outdated recommendations
- Never override clinical judgment — present guidelines as decision support, not mandates
- Account for multimorbidity — when guidelines conflict due to comorbidities, flag for physician resolution
- Document rationale for non-adherence — acceptable reasons include patient preference, contraindications, and clinical judgment
- Distinguish screening from diagnostic guidelines — different applicability criteria
Validation Checklist
- All active diagnoses have been evaluated for applicable guidelines
- Each recommendation includes class and level of evidence
- Adherence status is assessed for every extracted recommendation
- Patient-specific contraindications are accounted for in adherence assessment
- Guideline conflicts are identified and documented
- Suggested actions are specific and clinically actionable
- Guideline citations include issuing body, title, and year
HIPAA Compliance Notes
- Clinical profiles used for guideline matching must be accessed under minimum necessary principles
- Guideline match reports containing PHI must be stored in BAA-covered systems
- When used for population-level quality analysis, de-identify per HIPAA Safe Harbor or Expert Determination
- Audit trail required for all guideline match operations involving identifiable patient data
- Ensure guideline recommendations are not confused with clinical orders — they require physician review and authorization