| name | medical-research |
| description | Use this skill for medical literature research, clinical evidence synthesis, and drug interaction analysis. Trigger on queries involving medical topics, clinical guidelines, treatment protocols, or healthcare evidence review. |
| version | 1.0 |
| author | asgard-team |
| tags | ["medical","research","evidence","clinical","guidelines"] |
| tools | ["mimir_search","eir_patient_lookup"] |
Medical Research
Overview
Systematic medical literature research and clinical evidence synthesis skill. Designed for healthcare AI agents that need to search, evaluate, and summarize medical evidence from knowledge bases and patient records.
When to Use
- Clinical question answering (diagnosis, treatment, drug interactions)
- Evidence synthesis from medical literature
- Treatment protocol comparison
- Drug interaction and contraindication checks
- Clinical guideline summarization
Instructions
- Identify the clinical question — structure as PICO (Population, Intervention, Comparison, Outcome)
- Search knowledge bases — use
mimir_search to query medical RAG knowledge bases
- Cross-reference patient context — if available, use
eir_patient_lookup for patient-specific data
- Evaluate evidence quality — note study type, sample size, and level of evidence
- Synthesize findings — create structured summary with:
- Key findings
- Evidence strength (high/moderate/low)
- Clinical relevance
- Limitations and caveats
Quality Bar
- All claims must cite source documents
- Drug dosages must include standard ranges and contraindications
- Distinguish between established guidelines and emerging research
- Flag any information gaps explicitly
Common Mistakes to Avoid
- Do NOT provide definitive medical advice — always frame as "evidence suggests"
- Do NOT ignore patient-specific context (allergies, comorbidities)
- Do NOT mix up drug names (especially sound-alike medications)
