jeremylongshore / openevidence-core-workflow-a
Install for your project team
Run this command in your project directory to install the skill for your entire team:
mkdir -p .claude/skills/openevidence-core-workflow-a && curl -L -o skill.zip "https://fastmcp.me/Skills/Download/4116" && unzip -o skill.zip -d .claude/skills/openevidence-core-workflow-a && rm skill.zip
Project Skills
This skill will be saved in .claude/skills/openevidence-core-workflow-a/ and checked into git. All team members will have access to it automatically.
Important: Please verify the skill by reviewing its instructions before using it.
Execute OpenEvidence clinical query workflow for point-of-care decisions. Use when implementing real-time clinical decision support, building EHR-integrated evidence lookups, or point-of-care queries. Trigger with phrases like "openevidence clinical query", "point of care", "quick clinical lookup", "evidence search".
Skill Content
---
name: openevidence-core-workflow-a
description: |
Execute OpenEvidence primary workflow: Clinical Query & Decision Support.
Trigger: "openevidence clinical query & decision support", "primary openevidence workflow".
allowed-tools: Read, Write, Edit, Bash(npm:*), Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags: [saas, openevidence, healthcare]
compatible-with: claude-code
---
# OpenEvidence — Clinical Query & Decision Support
## Overview
Primary workflow for OpenEvidence integration.
## Instructions
### Step 1: Clinical Query
```typescript
const result = await client.query({
question: 'What is the recommended treatment for acute migraine in adults?',
context: 'emergency_department',
evidence_level: 'high', // Filter by evidence quality
max_citations: 10
});
console.log('Answer:', result.answer);
console.log('Confidence:', result.confidence);
result.citations.forEach(c =>
console.log(` [${c.journal}] ${c.title} (${c.year}) — ${c.evidence_level}`)
);
```
### Step 2: Drug Interaction Check
```typescript
const interactions = await client.interactions.check({
medications: ['metformin', 'lisinopril', 'atorvastatin'],
patient_context: { age: 65, conditions: ['diabetes', 'hypertension'] }
});
interactions.forEach(i =>
console.log(`${i.drug1} + ${i.drug2}: ${i.severity} — ${i.description}`)
);
```
### Step 3: Guideline Lookup
```typescript
const guidelines = await client.guidelines.search({
condition: 'hypertension',
source: ['ACC/AHA', 'ESC'],
year_min: 2023
});
guidelines.forEach(g =>
console.log(`${g.source}: ${g.title} (${g.year})`)
);
```
## Resources
- [OpenEvidence Docs](https://www.openevidence.com)
## Next Steps
See `openevidence-core-workflow-b`.