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Course Outline

Foundations of Agentic AI for Healthcare

  • Distinguishing agentic systems from tool-only LLM applications
  • Defining autonomy boundaries, policies, and the role of human oversight
  • Understanding the healthcare data landscape and its constraints (EHR, FHIR, PHI)

Designing Agent Workflows

  • Implementing planning, memory, tool use, and reflection loops
  • Applying prompt engineering, function/tool invocation, and action selection techniques
  • Managing state and utilizing orchestration patterns

Retrieval-Augmented Agents

  • Ingesting and chunking medical documents
  • Utilizing embeddings, vector stores, and evaluating relevance
  • Grounding responses and implementing citation strategies

Healthcare Integrations and Interoperability

  • Basics of FHIR and SMART for agent connectivity
  • Handling structured and unstructured clinical data
  • Managing eventing, APIs, and audit trails

Safety, Risk, and Governance

  • Implementing guardrails, conducting red-teaming, and designing fail-safe mechanisms
  • Managing PHI, de-identification processes, and access controls
  • Establishing human-in-the-loop reviews and escalation paths

Evaluation and Monitoring

  • Conducting offline evaluations, utilizing golden sets, and defining KPIs
  • Detecting hallucinations and verifying factuality
  • Ensuring observability, logging, and managing costs and latency

Deployment Patterns and Hands-on Lab

  • Comparing API-based versus on-premises model options
  • Constructing a retrieval-augmented agent using LangChain, FastAPI, and ChromaDB
  • Practicing simulated incident response and rollback procedures

Summary and Next Steps

Requirements

  • A foundational understanding of Python programming
  • Prior experience with data analysis or machine learning workflows
  • Familiarity with healthcare data standards and concepts (such as EHR and FHIR)

Target Audience

  • Healthcare data scientists and machine learning engineers
  • Clinical informatics specialists and digital health product teams
  • IT leaders and innovation managers within the healthcare industry
 14 Hours

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