Play 46
Healthcare Clinical AI
Very High✅ Ready
HIPAA-compliant clinical decision support with medical coding and drug interaction checking.
HIPAA-compliant clinical decision support — medical coding (ICD-10/CPT), clinical note summarization, drug interaction checking, patient triage, with audit trails for HIPAA/HITRUST and human-in-the-loop approval. Uses Azure Health Data Services for FHIR-compliant data access and AI Search for medical knowledge retrieval. Every decision is explainable and auditable.
Architecture Pattern
RAG-powered clinical agent: FHIR data, human-in-the-loop approval, audit logging
Azure Services
Azure OpenAI (gpt-4o)Health Data ServicesAzure AI SearchContent SafetyKey VaultAzure Monitor
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Healthcare Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (238 lines), evaluate (166 lines), tune (236 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with HIPAA OpenAI + FHIR inputs + envFile
TuneKit (AI Config)
- config/openai.json — gpt-4o, temp=0.1, deterministic
- config/clinical.json — coding rules, drug interaction DB, triage criteria
- config/guardrails.json — HIPAA PII redaction, human approval gates
- evaluation/eval.py — Coding accuracy >90%, Drug interaction recall >95%
Tuning Parameters
Clinical confidence thresholdPII redaction levelHuman approval thresholdCoding standard (ICD-10/CPT)Triage severity rules
Estimated Cost
Dev/Test
$150–300/mo
Production
$5K–15K/mo