openevidence-core-workflow-b

Execute OpenEvidence secondary workflow: DeepConsult Research Synthesis. Trigger: "openevidence deepconsult research synthesis", "secondary 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 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 evidencelevel or studytype 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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