pubmed-pico-search

Parse clinical questions into PICO elements and generate PubMed search queries.

24|8|Updated Dec 2, 2025
One-click install
npx skills add https://github.com/u9401066/pubmed-search-mcp --skill pubmed-pico-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pubmed-pico-search
Source: https://github.com/u9401066/pubmed-search-mcp/tree/main/.claude/skills/pubmed-pico-search
Command: npx skills add https://github.com/u9401066/pubmed-search-mcp --skill pubmed-pico-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates turning clinical questions into structured PICO queries and builds targeted PubMed searches, reducing manual effort and improving reproducibility.

Core Features & Use Cases

  • PICO parsing: extract P, I, C, O from questions in multiple languages.
  • Query expansion: generate MeSH terms, synonyms, and search strings.
  • Use Case: for a clinician researcher drafting literature searches for therapy, diagnosis, prognosis, or etiology.

Quick Start

Ask the AI to parse a clinical question into a PICO framework and generate a PubMed search strategy.

Frequently Asked Questions about pubmed-pico-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a PubMed search query from a clinical question?

To generate a PubMed search query, this skill parses your clinical question into PICO elements, maps MeSH terms with synonyms, and outputs ready-to-run Boolean search strings.

What is the PICO framework for literature search?

The PICO framework structures clinical questions into Population, Intervention, Comparison, and Outcome elements to build targeted PubMed literature searches for evidence synthesis.

Can I use PICO search for diagnosis and prognosis questions?

Yes, this PICO search applies to therapy, diagnosis, prognosis, and etiology questions across diverse languages and healthcare contexts for generating PubMed queries.

How do I expand PubMed search terms with MeSH and synonyms?

You can expand PubMed search terms by parsing PICO elements and automatically generating mapped MeSH terms with synonyms, applying optional expansion and filtering for evidence synthesis.

What is the best way to structure a Boolean search string for clinical evidence?

The best way to structure a Boolean search string is parsing PICO elements to generate targeted queries with MeSH terms and synonyms for fast clinical evidence retrieval.

Do I need to know MeSH terms to build a PubMed PICO query?

No, you do not need prior MeSH knowledge because this skill automatically extracts PICO elements from your clinical question and maps the relevant MeSH terms and synonyms for you.