@claude-flow/plugin-healthcare-clinical

A HIPAA-compliant clinical decision support plugin that combines ultra-fast vector search for medical literature retrieval with graph neural networks for patient pathway analysis. The plugin enables semantic search across medical records, drug interaction detection, and evidence-based treatment recommendations while maintaining strict data privacy through on-device WASM processing.

Features

• Patient Similarity Search: Find similar patient cases based on clinical features (diagnoses, labs, vitals, medications)
• Drug Interaction Detection: Analyze drug-drug and drug-condition interactions using graph neural networks
• Clinical Pathway Recommendations: Suggest evidence-based clinical pathways based on diagnosis and patient history
• Medical Literature Search: Semantic search across medical literature (PubMed, Cochrane, UpToDate)
• Ontology Navigation: Navigate ICD-10, SNOMED-CT, LOINC, and RxNorm hierarchies using hyperbolic embeddings

Installation

npm

npm install @claude-flow/plugin-healthcare-clinical

CLI

npx claude-flow plugins install --name @claude-flow/plugin-healthcare-clinical

Quick Start

import { HealthcareClinicalPlugin } from '@claude-flow/plugin-healthcare-clinical';

// Initialize the plugin
const healthcare = new HealthcareClinicalPlugin({
  ontologyPath: './data/ontologies',
  indexPath: './data/patient-index',
  hipaaCompliance: true
});

// Find similar patients
const similarPatients = await healthcare.patientSimilarity({
  patientFeatures: {
    diagnoses: ['E11.9', 'I10'],  // ICD-10 codes
    labResults: { HbA1c: 7.5, eGFR: 65 },
    medications: ['metformin', 'lisinopril']
  },
  topK: 5
});

// Check drug interactions
const interactions = await healthcare.drugInteractions({
  medications: ['warfarin', 'aspirin', 'ibuprofen'],
  severity: 'major'
});

// Search medical literature
const literature = await healthcare.literatureSearch({
  query: 'diabetes management in elderly patients',
  sources: ['pubmed', 'cochrane'],
  evidenceLevel: 'systematic-review'
});

MCP Tools

1. healthcare/patient-similarity

Find similar patient cases for treatment guidance.

// Example usage via MCP
const result = await mcp.invoke('healthcare/patient-similarity', {
  patientFeatures: {
    diagnoses: ['J45.20', 'J30.9'],
    labResults: { FEV1: 72, eosinophils: 450 },
    vitals: { peakFlow: 380 },
    medications: ['budesonide', 'albuterol']
  },
  topK: 5,
  cohortFilter: 'adult-asthma'
});

2. healthcare/drug-interactions

Detect potential drug-drug and drug-condition interactions.

const result = await mcp.invoke('healthcare/drug-interactions', {
  medications: ['clopidogrel', 'omeprazole', 'atorvastatin'],
  conditions: ['CKD-stage-3'],
  severity: 'all'
});

3. healthcare/clinical-pathways

Recommend evidence-based clinical pathways.

const result = await mcp.invoke('healthcare/clinical-pathways', {
  primaryDiagnosis: 'I21.0',  // STEMI
  patientHistory: {
    age: 68,
    comorbidities: ['E11.9', 'I10']
  },
  constraints: {
    excludeMedications: ['aspirin'],  // Allergy
    outpatientOnly: false
  }
});

4. healthcare/literature-search

Semantic search across medical literature.

const result = await mcp.invoke('healthcare/literature-search', {
  query: 'SGLT2 inhibitors cardiovascular outcomes',
  sources: ['pubmed', 'cochrane'],
  dateRange: { from: '2020-01-01', to: '2024-12-31' },
  evidenceLevel: 'rct'
});

5. healthcare/ontology-navigate

Navigate medical ontology hierarchies.

const result = await mcp.invoke('healthcare/ontology-navigate', {
  code: 'E11',
  ontology: 'icd10',
  direction: 'descendants',
  depth: 2
});

Configuration Options

interface HealthcarePluginConfig {
  // Data paths
  ontologyPath: string;           // Path to ontology files
  indexPath: string;              // Path to HNSW index storage

  // HIPAA compliance
  hipaaCompliance: boolean;       // Enable HIPAA-compliant mode (default: true)
  auditLogPath: string;           // Path for audit logs
  encryptionKey?: string;         // AES-256 encryption key

  // Performance
  maxMemoryMB: number;            // WASM memory limit (default: 512)
  cacheSize: number;              // Embedding cache size (default: 10000)

  // Ontologies
  enabledOntologies: string[];    // ['icd10', 'snomed', 'loinc', 'rxnorm']

  // Access control
  roleBasedAccess: boolean;       // Enable RBAC (default: true)
}

Security Considerations

HIPAA Compliance

This plugin is designed with HIPAA compliance as a core requirement:

On-Device Processing

• All PHI is processed locally via WASM - no cloud transmission
• WASM sandbox prevents network access and file system access
• Memory limited to 512MB to prevent exhaustion attacks
• 30-second CPU timeout per operation

Role-Based Access Control

const roles = {
  PHYSICIAN: ['patient-similarity', 'drug-interactions', 'clinical-pathways', 'literature-search', 'ontology-navigate'],
  NURSE: ['drug-interactions', 'ontology-navigate'],
  PHARMACIST: ['drug-interactions', 'literature-search'],
  RESEARCHER: ['literature-search', 'ontology-navigate'],  // No patient data
  CODER: ['ontology-navigate']  // Billing codes only
};

Audit Logging

All tool invocations are logged with:

• Timestamp (ISO 8601 with timezone)
• User ID and role
• Tool name and action type
• Hashed patient identifiers (not actual PHI)
• Query hash for reproducibility

Audit logs are retained for 6 years per HIPAA requirements.

Input Validation

All inputs are validated using Zod schemas:

• ICD-10 codes must match format /^[A-Z]\d{2}(\.\d{1,2})?$/
• RxNorm CUIs validated for format
• Maximum 100 diagnoses, 50 medications per query
• String lengths capped to prevent injection attacks
• Patient identifiers must be UUIDs or match institutional format

Rate Limiting

const rateLimits = {
  'healthcare/patient-similarity': { requestsPerMinute: 30, maxConcurrent: 3 },
  'healthcare/drug-interactions': { requestsPerMinute: 60, maxConcurrent: 5 },
  'healthcare/clinical-pathways': { requestsPerMinute: 20, maxConcurrent: 2 },
  'healthcare/literature-search': { requestsPerMinute: 30, maxConcurrent: 3 },
  'healthcare/ontology-navigate': { requestsPerMinute: 120, maxConcurrent: 10 }
};

Performance

Dependencies

• micro-hnsw-wasm: Fast similarity search (150x faster than traditional)
• ruvector-gnn-wasm: Graph neural networks for pathway analysis
• ruvector-hyperbolic-hnsw-wasm: Hierarchical medical ontology embeddings
• ruvector-sparse-inference-wasm: Efficient inference on sparse clinical features
• @medplum/fhirtypes: FHIR R4 type definitions

Related Plugins

License

MIT License

Copyright (c) 2026 Claude Flow

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.