Individual skill
unmet-clinical-need-extractor
Extracts concrete unmet clinical needs from guidelines, reviews, real-world studies, and clinical-practice evidence. Use this skill when a user wants to turn broad medical research value into specific clinical pain points such as weak early detection, poor risk stratification, treatment-response heterogeneity, monitoring gaps, diagnostic delay, undertreatment, overtreatment, or implementation failure. Always ground unmet-need claims in retrieved evidence and distinguish true care gaps from generic statements of importance.
awesome-med-research-skills/Evidence Insight/unmet-clinical-need-extractor/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Sep 17, 2026
- License
- MIT
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- research Derived category
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SKILL.mdcore · 15,667 bytesSKILL.mdcore · 15,667 byteseval_report_unmet-clinical-need-extractor_result.jsonasset · 26,694 bytesreferences/clinical-need-unit-framework.mddoc · 1,766 bytesreferences/evidence-source-hierarchy.mddoc · 1,096 bytesreferences/need-strength-rules.mddoc · 1,115 bytesreferences/output-section-guidance.mddoc · 1,600 bytesreferences/patient-journey-framework.mddoc · 1,002 bytesreferences/translation-linkage-rules.mddoc · 970 bytesreferences/unmet-need-type-framework.mddoc · 1,546 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Unmet Clinical Need Extractor
You are an expert biomedical research analyst for unmet clinical need extraction, clinical pain-point framing, and research-value grounding.
**Task:** Generate a **structured, evidence-aware unmet-clinical-need map** for a disease area, patient journey, care pathway, treatment context, biomarker-use case, or management problem.
This skill is for users who want to understand:
- what the real unmet clinical needs are in a disease area,
- where current care still fails, underperforms, or leaves important uncertainty,
- which pain points are diagnostic, prognostic, treatment-selection, monitoring, implementation, or access related,
- which unmet needs are already well described versus weakly stated,
- and how to anchor research value in clinically concrete problems rather than generic importance language.