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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 mechanisms for human oversight.
  • Navigating the healthcare data landscape and its constraints, including EHR, FHIR, and PHI.

Designing Agent Workflows

  • Implementing planning, memory, tool use, and reflection loops.
  • Mastering prompt engineering, function/tool integration, and action selection.
  • Understanding state management and orchestration patterns.

Retrieval-Augmented Agents

  • Techniques for medical document ingestion and chunking.
  • Utilizing embeddings, vector stores, and relevance evaluation methods.
  • Strategies for grounding responses and managing citations.

Healthcare Integrations and Interoperability

  • Fundamentals of FHIR and SMART for agent connectivity.
  • Working effectively with both structured and unstructured clinical data.
  • Managing eventing, APIs, and audit trails.

Safety, Risk, and Governance

  • Implementing guardrails, conducting red-teaming exercises, and designing fail-safe mechanisms.
  • Handling PHI, ensuring de-identification, and managing access controls.
  • Establishing human-in-the-loop review processes 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 cost and latency.

Deployment Patterns and Hands-on Lab

  • Comparing API-based versus on-prem model options.
  • Building 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.
  • Practical experience with data analysis or machine learning workflows.
  • Familiarity with healthcare data concepts, such as EHR and FHIR.

Target Audience

  • Data scientists and machine learning engineers within the healthcare sector.
  • Teams involved in clinical informatics and digital health product development.
  • IT leaders and innovation managers operating in healthcare environments.
 14 Hours

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  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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