openevidence-core-workflow-b
Execute OpenEvidence DeepConsult workflow for comprehensive medical research. Use when implementing deep research synthesis, complex clinical questions, or when physicians need extensive literature review. Trigger with phrases like "openevidence deepconsult", "deep research", "comprehensive evidence", "literature synthesis".
Install
mkdir -p .claude/skills/openevidence-core-workflow-b && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8982" && unzip -o skill.zip -d .claude/skills/openevidence-core-workflow-b && rm skill.zipInstalls to .claude/skills/openevidence-core-workflow-b
About this skill
OpenEvidence — Evidence Review & Citations
Overview
Search medical evidence, manage citations, and generate formatted evidence reports
through OpenEvidence. Use this workflow to find clinical studies for a specific
question, build citation collections for literature reviews, or produce structured
evidence summaries with graded recommendations. This is the secondary workflow —
for DeepConsult research synthesis, see openevidence-core-workflow-a.
Instructions
Step 1: Search the Evidence Database
const results = await client.evidence.search({
query: 'SGLT2 inhibitors cardiovascular outcomes type 2 diabetes',
filters: {
study_type: ['rct', 'meta_analysis', 'systematic_review'],
year_range: { min: 2020, max: 2026 },
evidence_level: ['1a', '1b', '2a'],
},
limit: 25,
sort: 'relevance',
});
console.log(`Found ${results.total} studies`);
results.items.forEach(s =>
console.log(` [${s.evidence_level}] ${s.title} (${s.journal}, ${s.year}) — ${s.citations} citations`)
);
Step 2: Build a Citation Collection
const collection = await client.citations.create({
name: 'SGLT2i CV Outcomes Review — April 2026',
study_ids: results.items.slice(0, 15).map(s => s.id),
tags: ['cardiology', 'diabetes', 'sglt2i'],
});
console.log(`Collection ${collection.id}: ${collection.study_count} studies`);
await client.citations.addByDoi(collection.id, { doi: '10.1056/NEJMoa2034577' });
Step 3: Grade Evidence and Extract Key Findings
const graded = await client.evidence.grade(collection.id, {
framework: 'GRADE', // GRADE | Oxford | USPSTF
outcome: 'major_adverse_cardiovascular_events',
});
graded.findings.forEach(f =>
console.log(`${f.outcome}: ${f.grade} (${f.certainty}) — ${f.summary}`)
);
console.log(`Overall recommendation: ${graded.recommendation}`);
Step 4: Generate a Formatted Evidence Report
const report = await client.reports.generate({
collection_id: collection.id,
format: 'structured',
sections: ['clinical_question', 'search_strategy', 'evidence_table', 'grade_summary', 'references'],
citation_style: 'AMA',
});
console.log(`Report generated: ${report.page_count} pages`);
console.log(`Download: ${report.download_url}`);
HIPAA Notice
- HIPAA-compliant and SOC 2 Type II certified — never include patient identifiers
- Use de-identified clinical scenarios only; ensure BAA is in place before handling PHI
Error Handling
| Issue | Cause | Fix |
|---|---|---|
401 Unauthorized | Invalid API key or expired session | Regenerate key in OpenEvidence dashboard |
404 Study not found | DOI not indexed or incorrect ID | Search by title or check DOI format |
422 Invalid filter | Unsupported evidence_level or study_type | Use allowed values from client.schema.filters() |
429 Rate limited | Exceeded 60 queries/minute | Add backoff; batch searches where possible |
503 Grading unavailable | GRADE engine under maintenance | Retry after 5 minutes or use Oxford framework |
Output
A successful workflow returns ranked evidence results with evidence levels, a curated citation collection, GRADE assessments with certainty ratings, and a downloadable structured report in AMA citation format.
Resources
Next Steps
See openevidence-sdk-patterns for authentication and HIPAA-compliant configuration.
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