openevidence-reference-architecture
Implement OpenEvidence reference architecture with best-practice project layout. Use when designing new clinical AI integrations, reviewing project structure, or establishing architecture standards for healthcare applications. Trigger with phrases like "openevidence architecture", "openevidence best practices", "openevidence project structure", "clinical ai architecture". allowed-tools: Read, Grep version: 1.0.0 license: MIT author: Jeremy Longshore <jeremy@intentsolutions.io>
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Provided by Plugin
openevidence-pack
Claude Code skill pack for OpenEvidence medical AI (24 skills)
Installation
This skill is included in the openevidence-pack plugin:
/plugin install openevidence-pack@claude-code-plugins-plus
Click to copy
Instructions
# OpenEvidence Reference Architecture
## Overview
Production-ready architecture patterns for OpenEvidence clinical AI integrations in healthcare environments.
## Prerequisites
- Understanding of layered architecture
- OpenEvidence SDK knowledge
- Healthcare compliance requirements
- TypeScript/Node.js project setup
## Project Structure
```
clinical-evidence-api/
βββ src/
β βββ openevidence/
β β βββ client.ts # Singleton client wrapper
β β βββ config.ts # Environment configuration
β β βββ types.ts # TypeScript types
β β βββ errors.ts # Custom error classes
β β βββ cache.ts # Caching layer
β β βββ handlers/
β β βββ webhooks.ts # Webhook handlers
β β βββ events.ts # Event processing
β βββ services/
β β βββ clinical/
β β βββ index.ts # Service facade
β β βββ query.ts # Clinical query service
β β βββ deepconsult.ts # DeepConsult service
β β βββ drug-info.ts # Drug information service
β βββ api/
β β βββ routes/
β β β βββ clinical.ts # Clinical query endpoints
β β β βββ webhooks.ts # Webhook endpoints
β β βββ middleware/
β β βββ auth.ts # Authentication
β β βββ audit.ts # HIPAA audit logging
β β βββ rate-limit.ts # Rate limiting
β βββ integrations/
β β βββ ehr/
β β β βββ fhir.ts # FHIR integration
β β β βββ epic.ts # Epic EHR hooks
β β β βββ cerner.ts # Cerner integration
β β βββ notifications/
β β βββ email.ts # Email notifications
β β βββ push.ts # Push notifications
β βββ compliance/
β β βββ hipaa/
β β β βββ audit-log.ts # HIPAA audit logging
β β β βββ phi-handler.ts # PHI sanitization
β β β βββ encryption.ts # Data encryption
β β βββ retention.ts # Data retention policies
β βββ jobs/
β βββ cleanup.ts # Data cleanup job
β βββ reporting.ts # Usage reporting job
βββ tests/
β βββ unit/
β β βββ services/
β βββ integration/
β β βββ openevidence/
β βββ clinical-validation/
β βββ known-answers/
βββ config/
β βββ default.json
β βββ development.json
β βββ staging.json
β βββ production.json
βββ docs/
β βββ architecture.md
β βββ runbook.md
β βββ api-reference.md
βββ scripts/
βββ migrate.sh
βββ deploy.sh
```
## Layer Architecture
```
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β API Layer β
β (Controllers, Routes, Webhooks, Middleware) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β Service Layer β
β (Business Logic, Orchestration, Validation) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β OpenEvidence Layer β
β (Client, Types, Caching, Error Handling) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β Compliance Layer β
β (HIPAA Audit, PHI Handling, Encryption) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β Integration Layer β
β (EHR/FHIR, Notifications, External Services) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β Infrastructure Layer β
β (Database, Cache, Queue, Monitoring) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
```
## Key Components
### Step 1: Client Wrapper with Caching & Monitoring
```typescript
// src/openevidence/client.ts
import { OpenEvidenceClient } from '@openevidence/sdk';
import { ClinicalQueryCache } from './cache';
import { MetricsCollector } from '../monitoring/metrics';
import { HIPAAAuditLogger } from '../compliance/hipaa/audit-log';
export interface OpenEvidenceServiceConfig {
apiKey: string;
orgId: string;
baseUrl: string;
timeout: number;
cache: ClinicalQueryCache;
metrics: MetricsCollector;
auditLogger: HIPAAAuditLogger;
}
export class OpenEvidenceService {
private client: OpenEvidenceClient;
private cache: ClinicalQueryCache;
private metrics: MetricsCollector;
private auditLogger: HIPAAAuditLogger;
constructor(config: OpenEvidenceServiceConfig) {
this.client = new OpenEvidenceClient({
apiKey: config.apiKey,
orgId: config.orgId,
baseUrl: config.baseUrl,
timeout: config.timeout,
});
this.cache = config.cache;
this.metrics = config.metrics;
this.auditLogger = config.auditLogger;
}
async query(
request: ClinicalQueryRequest,
context: RequestContext
): Promise {
const timer = this.metrics.startTimer('clinical_query');
try {
// Check cache
const cached = await this.cache.get(request.question, request.context);
if (cached) {
this.metrics.incrementCounter('cache_hit');
timer.stop({ cached: 'true' });
return cached;
}
this.metrics.incrementCounter('cache_miss');
// Query API
const response = await this.client.query(request);
// Cache response
await this.cache.set(request.question, request.context, response);
// Audit log (without PHI)
await this.auditLogger.logQuery(context.userId, context.userRole, response.id, true);
timer.stop({ cached: 'false' });
return response;
} catch (error: any) {
this.metrics.incrementCounter('query_error', { error: error.code });
await this.auditLogger.logQuery(context.userId, context.userRole, null, false);
timer.stop({ error: 'true' });
throw error;
}
}
async deepConsult(
request: DeepConsultRequest,
context: RequestContext
): Promise {
// Return consultId for async tracking
const consultId = await this.client.deepConsult.create(request);
await this.auditLogger.logDeepConsult(context.userId, context.userRole, consultId, true);
return consultId;
}
async health(): Promise {
try {
const start = Date.now();
await this.client.health.check();
return {
status: 'healthy',
latencyMs: Date.now() - start,
};
} catch (error: any) {
return { status: 'unhealthy', error: error.message };
}
}
}
```
### Step 2: Service Facade
```typescript
// src/services/clinical/index.ts
import { OpenEvidenceService } from '../../openevidence/client';
import { PHIHandler } from '../../compliance/hipaa/phi-handler';
export class ClinicalEvidenceService {
constructor(
private openEvidence: OpenEvidenceService,
private phiHandler: PHIHandler
) {}
async queryClinicalEvidence(
question: string,
patientContext: PatientContext | undefined,
context: RequestContext
): Promise {
// 1. Sanitize input (remove PHI)
const sanitizedRequest = this.phiHandler.sanitizeQuery(question, patientContext);
// 2. Query OpenEvidence
const response = await this.openEvidence.query(sanitizedRequest, context);
// 3. Format response for clinical use
return this.formatClinicalAnswer(response);
}
async requestDeepConsult(
question: string,
options: DeepConsultOptions,
context: RequestContext
): Promise<{ consultId: string; estimatedTime: number }> {
const sanitizedQuestion = this.phiHandler.sanitizeText(question);
const consultId = await this.openEvidence.deepConsult({
question: sanitizedQuestion,
context: {
specialty: options.specialty,
researchFocus: options.researchFocus,
timeframe: options.timeframe,
},
}, context);
return {
consultId,
estimatedTime: 180, // 3 minutes typical
};
}
async checkDrugInteraction(
drugs: string[],
context: RequestContext
): Promise {
const question = `What are the drug interactions between ${drugs.join(' and ')}?`;
const response = await this.openEvidence.query({
question,
context: {
specialty: 'pharmacology',
urgency: 'urgent',
},
}, context);
return this.parseDrugInteractionResponse(response);
}
private formatClinicalAnswer(response: ClinicalQueryResponse): FormattedClinicalAnswer {
return {
summary: response.answer.split('.')[0] + '.',
detailedAnswer: response.answer,
citations: response.citations.map(c => ({
source: c.source,
title: c.title,
year: c.year,
})),
confidence: {
score: response.confidence,
level: response.confidence > 0.9 ? 'high' : response.confidence > 0.7 ? 'moderate' : 'low',
},
disclaimer: 'For clinical decision support only. Verify with current guidelines.',
};
}
private parseDrugInteractionResponse(response: ClinicalQueryResponse): DrugInteractionResult {
// Parse response to structured format
const answerLower = response.answer.toLowerCase();
return {
hasInteraction: !answerLower.includes('no significant interaction'),
severity: this.determineSeverity(answerLower),
details: response.answer,
citations: response.citations,
};
}
private determineSeverity(text: string): 'major' | 'moderate' | 'minor' | 'none' {
if (text.includes('contraindicated') || text.includes('major')) return 'major';
if (text.includes('moderate') || text.includes('caution')) return 'moderate';
if (text.includes('minor')) return 'minor';
return 'none';
}
}
```
### Step 3: EHR Integration Layer
```typescript
// src/integrations/ehr/fhir.ts
import { ClinicalEvidenceService } from '../../services/clinical';
// HL7 FHIR CDS Hooks implementation
interface CDSHooksRequest {
hook: string;
hookInstance: string;
context: {
patientId: string;
encounterId?: string;
medications?: FHIRMedication[];
conditions?: FHIRCondition[];
};
prefetch?: {
patient?: FHIRPatient;
medications?: FHIRBundle;
};
}
interface CDSHooksResponse {
cards: CDSCard[];
}
export class FHIRIntegration {
constructor(private clinicalService: ClinicalEvidenceService) {}
async handleCDSHook(request: CDSHooksRequest): Promise {
switch (request.hook) {
case 'medication-prescribe':
return this.handleMedicationPrescribe(request);
case 'order-sign':
return this.handleOrderSign(request);
default:
return { cards: [] };
}
}
private async handleMedicationPrescribe(
request: CDSHooksRequest
): Promise {
const medications = request.context.medications?.map(
m => m.medicationCodeableConcept?.text
).filter(Boolean) as string[];
if (medications.length < 2) {
return { cards: [] };
}
// Check for drug interactions
const interaction = await this.clinicalService.checkDrugInteraction(
medications,
{ userId: 'system', userRole: 'cds-hook' }
);
if (!interaction.hasInteraction) {
return { cards: [] };
}
return {
cards: [{
uuid: crypto.randomUUID(),
summary: `Drug Interaction Alert: ${medications.join(', ')}`,
detail: interaction.details,
indicator: interaction.severity === 'major' ? 'critical' : 'warning',
source: {
label: 'OpenEvidence Clinical Decision Support',
url: 'https://openevidence.com',
},
suggestions: interaction.severity === 'major' ? [{
label: 'Review alternatives',
uuid: crypto.randomUUID(),
}] : undefined,
}],
};
}
private async handleOrderSign(request: CDSHooksRequest): Promise {
// Similar implementation for order signing
return { cards: [] };
}
}
```
## Data Flow Diagram
```
User/EHR Request
β
βΌ
βββββββββββββββββββ
β API Gateway β
β (Auth, Rate) β
ββββββββββ¬βββββββββ
β
βΌ
βββββββββββββββββββ βββββββββββββββββββ
β PHI Sanitizer βββββΆβ HIPAA Audit β
ββββββββββ¬βββββββββ βββββββββββββββββββ
β
βΌ
βββββββββββββββββββ βββββββββββββββββββ
β Clinical βββββΆβ Cache Layer β
β Query Service β β (Redis) β
ββββββββββ¬βββββββββ ββββββββββ¬βββββββββ
β β
βΌ (cache miss) β
βββββββββββββββββββ β
β OpenEvidence βββββββββββββββ
β API Client β (cache hit)
ββββββββββ¬βββββββββ
β
βΌ
βββββββββββββββββββ
β OpenEvidence β
β Cloud API β
βββββββββββββββββββ
```
## Configuration Management
```typescript
// src/config/index.ts
import convict from 'convict';
const config = convict({
env: {
doc: 'Application environment',
format: ['development', 'staging', 'production'],
default: 'development',
env: 'NODE_ENV',
},
openevidence: {
apiKey: {
doc: 'OpenEvidence API key',
format: String,
default: '',
env: 'OPENEVIDENCE_API_KEY',
sensitive: true,
},
orgId: {
doc: 'OpenEvidence organization ID',
format: String,
default: '',
env: 'OPENEVIDENCE_ORG_ID',
},
baseUrl: {
doc: 'OpenEvidence API base URL',
format: 'url',
default: 'https://api.openevidence.com',
env: 'OPENEVIDENCE_BASE_URL',
},
timeout: {
doc: 'Request timeout in milliseconds',
format: 'int',
default: 30000,
env: 'OPENEVIDENCE_TIMEOUT',
},
},
cache: {
enabled: {
doc: 'Enable caching',
format: Boolean,
default: true,
},
ttlSeconds: {
doc: 'Default cache TTL',
format: 'int',
default: 3600,
},
},
hipaa: {
auditLogRetentionDays: {
doc: 'HIPAA audit log retention',
format: 'int',
default: 2190, // 6 years
},
},
});
config.loadFile(`./config/${config.get('env')}.json`);
config.validate({ allowed: 'strict' });
export default config;
```
## Output
- Layered architecture with separation of concerns
- HIPAA-compliant data handling
- EHR integration ready
- Comprehensive caching
- Health checks and monitoring
## Architecture Checklist
- [ ] Layered architecture implemented
- [ ] PHI sanitization in place
- [ ] HIPAA audit logging
- [ ] Caching strategy configured
- [ ] EHR integration patterns
- [ ] Health checks implemented
- [ ] Configuration management
- [ ] Error boundaries at each layer
## Resources
- [HL7 FHIR](https://www.hl7.org/fhir/)
- [CDS Hooks](https://cds-hooks.hl7.org/)
- [SMART on FHIR](https://smarthealthit.org/)
## Flagship Skills
For multi-environment setup, see `openevidence-multi-env-setup`.