Agentic AI · Healthcare · internal
MedicAI
Multi-tenant multi-agent clinical AI platform.
LangGraph-orchestrated clinical platform with specialized agents, Agentic RAG, tenant isolation, human-in-the-loop gates, and evaluation via LangSmith and RAGAS.
Clinical agents & hospital operations interface
My role
AI Architecture & Agent Orchestration
- AI Architecture
- Agent Orchestration
- Retrieval
- Evaluation
- Productionization
Period / 2025
Overview
LangGraph-orchestrated clinical platform with specialized agents, Agentic RAG, tenant isolation, human-in-the-loop gates, and evaluation via LangSmith and RAGAS.
Problem
Clinical workflows require specialized reasoning, retrieval, and strict controls—single-prompt chatbots cannot safely handle coding, documentation, triage, and imaging in a multi-tenant environment.
System
A stateful multi-agent system with structured routing, tool execution, retrieval, validation, and human approval where required—observed and evaluated in production-minded workflows.
System anatomy
Architecture
LangGraph orchestration with structured routing across specialists.
- State graph
- Router
- Specialized agents
- Tool execution
Architecture
Authenticated tenant context enters a LangGraph router that dispatches specialized clinical agents with RAG, tools, memory, and workflow paths—then validation, optional HITL, and observability.
- Request → Auth / Tenant
- Auth / Tenant → LangGraph Router
- LangGraph Router → Specialized Agents
- Specialized Agents → Agentic RAG
- Specialized Agents → Tools
- Specialized Agents → Memory
- Specialized Agents → Clinical Workflow
- Agentic RAG → Validation / Guardrails
Engineering decisions
Explicit LangGraph state orchestration
Clinical tasks need structured routing across specialists. A state graph makes agent transitions, tool calls, and approval gates inspectable and controllable.
Human-in-the-loop gating
High-risk clinical outputs require approval boundaries. HITL gates prevent automatic release of sensitive recommendations without review.
Tenant isolation with RBAC
Multi-tenant clinical data cannot share context casually. Isolation and role controls are first-class architecture constraints, not afterthoughts.
LangSmith + RAGAS evaluation loop
Agent quality must be measured. Tracing and retrieval evaluation close the loop between orchestration changes and measurable behavior.
Reliability / production
- Tenant isolation / RBAC
- Schema validation
- Guardrails
- Human-in-the-loop gates
- Structured routing
Evaluation
Stack
Outcomes
- Specialized agents for ICD-10, SOAP docs, scheduling, imaging, triage, and clinical Q&A.
- Production controls: tenant isolation, Redis/PostgreSQL state, guardrails, schema validation.
- Observability and retrieval evaluation with LangSmith and RAGAS.
Links
Product visuals
