其他

tooluniverse-clinical-guidelines

mims-harvard/to…universe

Search and retrieve clinical practice guidelines from 12+ authoritative sources — NICE, WHO, NCCN, AHA, ADA, SIGN, USPSTF, IDSA, NIH consensus, ESMO/ESC/EASL European societies, and US specialty associations. Use for evidence-graded treatment recommendations, dosing protocols, screening guidance, and authoritative-source-prioritized clinical guidance (NICE/WHO ranked above society guidelines).

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安装命令

npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-clinical-guidelines

SKILL.md

Clinical Guidelines Search & Retrieval

Guideline Hierarchy

Not all guidelines carry equal weight. Evaluate sources in this order:

  1. NICE and WHO — Evidence-graded, regularly updated, rigorous systematic review process. NICE guidelines include explicit recommendation strength (e.g., "offer" vs "consider").
  2. Society guidelines (AHA, ADA, NCCN, SIGN) — Expert-consensus panels within a specialty. May lag behind the latest evidence by 1-3 years. Strong within their domain but narrower scope.
  3. Aggregator databases (TRIP, OpenAlex) — Index guidelines from multiple societies. Good for breadth and discovery, but you must verify the original source.
  4. Literature databases (PubMed, EuropePMC) — Return guideline-related publications, not curated guideline text. Useful as a fallback, not a primary source.

Always check publication date. A 2015 guideline may be superseded by a 2024 update. When presenting results, include the year prominently and note if newer guidance may exist.


COMPUTE, DON'T DESCRIBE

When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.

Search Strategy

Clinical Guidelines Search & Retrieval

Guideline Hierarchy

Not all guidelines carry equal weight. Evaluate sources in this order:

  1. NICE and WHO — Evidence-graded, regularly updated, rigorous systematic review process. NICE guidelines include explicit recommendation strength (e.g., "offer" vs "consider").
  2. Society guidelines (AHA, ADA, NCCN, SIGN) — Expert-consensus panels within a specialty. May lag behind the latest evidence by 1-3 years. Strong within their domain but narrower scope.
  3. Aggregator databases (TRIP, OpenAlex) — Index guidelines from multiple societies. Good for breadth and discovery, but you must verify the original source.
  4. Literature databases (PubMed, EuropePMC) — Return guideline-related publications, not curated guideline text. Useful as a fallback, not a primary source.

Always check publication date. A 2015 guideline may be superseded by a 2024 update. When presenting results, include the year prominently and note if newer guidance may exist.


COMPUTE, DON'T DESCRIBE

When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.

Search Strategy