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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 requirements for human oversight
  • Overview of the healthcare data landscape and constraints (EHR, FHIR, PHI)

Designing Agent Workflows

  • Implementing planning, memory, tool usage, and reflection loops
  • Techniques for prompt engineering, function/tool invocation, and action selection
  • Patterns for state management and orchestration

Retrieval-Augmented Agents

  • Processing medical documents through ingestion and chunking strategies
  • Utilizing embeddings, vector stores, and methods for relevance evaluation
  • Strategies for grounding responses and citation

Healthcare Integrations and Interoperability

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

Safety, Risk, and Governance

  • Implementing guardrails, conducting red-teaming, and designing fail-safe mechanisms
  • Handling PHI, de-identification techniques, and access control measures
  • Facilitating human-in-the-loop reviews and establishing escalation paths

Evaluation and Monitoring

  • Conducting offline evaluations, utilizing golden datasets, and defining KPIs
  • Techniques for hallucination detection and factuality verification
  • Ensuring observability, logging, and managing cost/latency

Deployment Patterns and Hands-on Lab

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

Summary and Next Steps

Requirements

  • Foundational knowledge of Python programming
  • Practical experience with data analysis or machine learning workflows
  • Familiarity with healthcare data standards (e.g., EHR, FHIR)

Target Audience

  • Data scientists and ML engineers in the healthcare sector
  • Clinical informatics and digital health product teams
  • IT leaders and innovation managers within healthcare organizations
 14 Hours

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