openevidence-core-workflow-a

# 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 ```typescript 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 ```typescript 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})`)); `...