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 Duration 14 hours

Course Outline

Foundations of Agentic AI in Healthcare

  • Distinguishing agentic systems from simple tool-using LLM applications
  • Defining autonomy boundaries, policies, and human oversight roles
  • Understanding the healthcare data environment, including EHR, FHIR, and PHI constraints

Architecting Agent Workflows

  • Implementing planning, memory, tool use, and reflection cycles
  • Prompt engineering, function/tool integration, and action selection strategies
  • Managing state and orchestration patterns effectively

Retrieval-Augmented Agents

  • Processing medical documents through ingestion and chunking
  • Utilizing embeddings, vector stores, and assessing relevance
  • Grounding responses and applying citation strategies

Healthcare Integration and Interoperability

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

Safety, Risk Management, and Governance

  • Implementing guardrails, red-teaming, and fail-safe designs
  • Managing PHI, de-identification, and access control protocols
  • Establishing human-in-the-loop reviews and escalation pathways

Evaluation and Monitoring

  • Conducting offline evaluations, defining golden sets, and establishing KPIs
  • Detecting hallucinations and performing factuality checks
  • Ensuring observability, logging, and managing cost/latency

Deployment Strategies and Practical Lab

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

Summary and Future Directions

Requirements

  • Proficiency in basic Python programming
  • Practical experience with data analysis or machine learning workflows
  • Knowledge of healthcare data concepts, such as EHR and FHIR

Target Audience

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

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