openevidence-core-workflow-a
Execute OpenEvidence clinical query workflow for point-of-care decisions. Use when implementing real-time clinical decision support, building EHR-integrated evidence lookups, or point-of-care queries. Trigger with phrases like "openevidence clinical query", "point of care", "quick clinical lookup", "evidence search".
Install
mkdir -p .claude/skills/openevidence-core-workflow-a && curl -L -o skill.zip "https://mcp.directory/api/skills/download/4116" && unzip -o skill.zip -d .claude/skills/openevidence-core-workflow-a && rm skill.zipInstalls to .claude/skills/openevidence-core-workflow-a
About this skill
OpenEvidence — Clinical Query & Decision Support
Overview
Primary workflow for OpenEvidence integration.
Instructions
Step 1: Clinical Query
const result = await client.query({
question: 'What is the recommended treatment for acute migraine in adults?',
context: 'emergency_department',
evidence_level: 'high', // Filter by evidence quality
max_citations: 10
});
console.log('Answer:', result.answer);
console.log('Confidence:', result.confidence);
result.citations.forEach(c =>
console.log(` [${c.journal}] ${c.title} (${c.year}) — ${c.evidence_level}`)
);
Step 2: Drug Interaction Check
const interactions = await client.interactions.check({
medications: ['metformin', 'lisinopril', 'atorvastatin'],
patient_context: { age: 65, conditions: ['diabetes', 'hypertension'] }
});
interactions.forEach(i =>
console.log(`${i.drug1} + ${i.drug2}: ${i.severity} — ${i.description}`)
);
Step 3: Guideline Lookup
const guidelines = await client.guidelines.search({
condition: 'hypertension',
source: ['ACC/AHA', 'ESC'],
year_min: 2023
});
guidelines.forEach(g =>
console.log(`${g.source}: ${g.title} (${g.year})`)
);
Resources
Next Steps
See openevidence-core-workflow-b.
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