openevidence-core-workflow-b

name	openevidence-core-workflow-b
description	Execute OpenEvidence secondary workflow: DeepConsult Research Synthesis. Trigger: "openevidence deepconsult research synthesis", "secondary openevidence workflow".
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.13.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","openevidence","healthcare"]
compatibility	Designed for Claude Code

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

• OpenEvidence Platform

Next Steps

See openevidence-sdk-patterns for authentication and HIPAA-compliant configuration.