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 Duration 14 hours

Course Outline

Core Principles of Agentic AI in Healthcare

  • Differentiating agentic systems from standard tool-based LLM applications
  • Defining autonomy limits, policies, and human oversight roles
  • Navigating the healthcare data environment and its constraints (EHR, FHIR, PHI)

Architecting Agent Workflows

  • Implementing planning, memory, tool usage, and reflection cycles
  • Advanced prompt engineering, function/tool integration, and decision selection
  • Managing state and orchestration methodologies

Developing Retrieval-Augmented Agents

  • Ingesting and segmenting medical documentation
  • Utilizing embeddings, vector databases, and assessing relevance
  • Ensuring response accuracy and implementing citation methods

Healthcare Integration and Interoperability

  • Fundamentals of FHIR/SMART for connecting agents
  • Processing both structured and unstructured clinical data
  • Managing event streams, APIs, and maintaining audit logs

Safety, Risk Management, and Governance

  • Establishing guardrails, conducting red-teaming, and designing fail-safes
  • Handling PHI, implementing de-identification, and managing access controls
  • Integrating human-in-the-loop reviews and escalation protocols

Assessment and Monitoring

  • Conducting offline evaluations, creating golden datasets, and defining KPIs
  • Detecting hallucinations and verifying factual accuracy
  • Ensuring observability, logging, and managing cost/latency

Deployment Strategies and Practical Lab

  • Choosing between API-based and on-premise model architectures
  • Developing a retrieval-augmented agent using LangChain, FastAPI, and ChromaDB
  • Simulating incident response and executing rollback procedures

Recap and Future Directions

Requirements

  • Fundamental proficiency in Python programming
  • Prior experience with data analysis or machine learning workflows
  • Familiarity with healthcare data standards, such as EHR and FHIR

Target Audience

  • Healthcare data scientists and ML engineers
  • Teams specializing in clinical informatics and digital health products
  • IT leadership and innovation managers within the healthcare sector

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