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Course Outline

Foundations of Agentic AI for Healthcare

  • Distinguishing agentic AI from tool-only LLM applications.
  • Establishing autonomy boundaries, policies, and human oversight.
  • Understanding the healthcare data landscape and constraints, including EHR, FHIR, and PHI.

Designing Agent Workflows

  • Implementing planning, memory, tool usage, and reflection loops.
  • Mastering prompt engineering, functions/tools, and action selection.
  • Managing state and applying orchestration patterns.

Retrieval-Augmented Agents

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

Healthcare Integrations and Interoperability

  • Understanding FHIR/SMART basics for agent connectivity.
  • Processing 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.
  • Handling PHI, de-identification, and access controls.
  • Facilitating human-in-the-loop review and escalation paths.

Evaluation and Monitoring

  • Conducting offline evaluations, using golden sets, and defining KPIs.
  • Detecting hallucinations and verifying factuality.
  • Ensuring observability, logging, and managing cost/latency.

Deployment Patterns and Hands-on Lab

  • Comparing API-based versus on-prem model choices.
  • Building a retrieval-augmented agent using LangChain, FastAPI, and ChromaDB.
  • Simulating incident response and executing rollback procedures.

Summary and Next Steps

Requirements

  • A foundational understanding of Python programming.
  • Practical experience with data analysis or machine learning workflows.
  • Familiarity with 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.
 14 Hours

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