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})`));
