openevidence-core-workflow-a

Execute OpenEvidence primary workflow: Clinical Query & Decision Support. Trigger: "openevidence clinical query & decision support", "primary openevidence workflow".

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openevidence-pack Plugin
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openevidence-pack

Claude Code skill pack for OpenEvidence medical AI (24 skills)

saas packs v1.0.0
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Installation

This skill is included in the openevidence-pack plugin:

/plugin install openevidence-pack@claude-code-plugins-plus

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Instructions

OpenEvidence — Evidence Search & Retrieval

Overview

Primary workflow for OpenEvidence clinical evidence integration. Covers the core use

case: searching clinical literature with evidence-level filters, retrieving structured

citations with journal and year metadata, checking drug interactions against patient

context, and looking up specialty guidelines from major bodies (ACC/AHA, ESC, NICE).

Responses include confidence scores and evidence grading to support clinical decision

making. All queries support specialty filtering to narrow results to relevant domains.

Instructions

Step 1: Search Clinical Evidence


const result = await client.query({
  question: 'What is the recommended treatment for acute migraine in adults?',
  context: 'emergency_department',
  evidence_level: 'high',
  specialty: 'neurology',
  max_citations: 10,
});

console.log('Answer:', result.answer);
console.log(`Confidence: ${result.confidence} | Evidence grade: ${result.grade}`);
result.citations.forEach(c =>
  console.log(`  [${c.journal}] ${c.title} (${c.year}) — Level ${c.evidence_level}`)
);

Step 2: Filter by Specialty and Date


const recent = await client.search({
  keywords: 'GLP-1 receptor agonist cardiovascular outcomes',
  specialty: 'cardiology',
  year_min: 2024,
  evidence_level: 'meta-analysis',
  limit: 20,
});
console.log(`Found ${recent.total} results`);
recent.results.forEach(r => console.log(`  ${r.title} (${r.journal}, ${r.year})`));

Step 3: Check Drug Interactions


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}`)
);
if (interactions.some(i => i.severity === 'major')) {
  console.warn('WARNING: Major interaction detected — review before prescribing');
}

Step 4: Guideline Lookup


const guidelines = await client.guidelines.search({
  condition: 'hypertension',
  source: ['ACC/AHA', 'ESC', 'NICE'],
  year_min: 2023,
});
guidelines.forEach(g =>
  console.log(`${g.source}: ${g.title} (${g.year}) — ${g.recommendation_class}`)
);

Error Handling

Issue Cause Fix
401 Unauthorized Invalid API key Verify key in Authorization: Bearer header
404 Not Found Unknown specialty code Use standard specialty slugs from /specialties
422 Validation Conflicting filter params Remove mutually exclusive filters
429 Rate Limited Exceeds 30 queries/min Back off per Retry-After header
Empty citations array Question too narrow Broaden search terms or lower evidence level

Output

A successful run returns evidence-backed answers with citations, drug interaction

severity assessments, and guideline recommendations. Each response includes a

confidence score and evidence grade for clinical decision support.

Resources

Next Steps

Continue with openevidence-core-workflow-b for patient case analysis and reporting.

Ready to use openevidence-pack?