Agentic AI in Healthcare Training Course

Foundations of Agentic AI for Healthcare

• Differentiating Between Agentic and Tool-Only LLM Applications
• Establishing Autonomy Boundaries, Policies, and Human Oversight
• Understanding the Healthcare Data Landscape and Constraints (EHR, FHIR, PHI)

Designing Agent Workflows for Government

• Planning, Memory Management, Tool Use, and Reflection Loops
• Prompt Engineering, Function Integration, and Action Selection
• State Management and Orchestration Patterns

Retrieval-Augmented Agents for Government

• Medical Document Ingestion and Chunking Techniques
• Utilizing Embeddings, Vector Stores, and Relevance Evaluation
• Grounding Responses and Implementing Citation Strategies

Healthcare Integrations and Interoperability for Government

• FHIR/SMART Basics for Agent Connectivity
• Working with Structured and Unstructured Clinical Data
• Eventing, API Integration, and Audit Trail Management

Safety, Risk, and Governance for Government

• Implementing Guardrails, Red-Teaming, and Fail-Safe Design
• Handling Protected Health Information (PHI), De-identification, and Access Controls
• Establishing Human-in-the-Loop Review and Escalation Paths

Evaluation and Monitoring for Government

• Conducting Offline Evaluations, Defining Golden Sets, and Setting KPIs
• Detecting Hallucinations and Ensuring Factuality
• Enhancing Observability, Logging, and Managing Costs and Latency

Deployment Patterns and Hands-on Lab for Government

• Choosing Between API-Based and On-Premises Model Deployments
• Building a Retrieval-Augmented Agent with LangChain, FastAPI, and ChromaDB
• Simulating Incident Response and Rollback Procedures

Summary and Next Steps for Government