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 Duration 14 hours

Course Outline

Core Principles of Agentic AI in Healthcare

  • Distinguishing agentic systems from simple LLM tool applications
  • Defining autonomy limits, policies, and human supervision
  • Navigating the healthcare data ecosystem and its constraints (EHR, FHIR, PHI)

Architecting Agent Workflows

  • Integrating planning, memory, tool usage, and reflective loops
  • Optimising prompts, functions/tools, and action selection strategies
  • Managing state and orchestration patterns

Retrieval-Augmented Agent Development

  • Ingesting and chunking medical literature
  • Utilising embeddings, vector stores, and assessing relevance
  • Anchoring responses and implementing citation techniques

Healthcare Integration and Interoperability

  • Foundational FHIR/SMART concepts for agent connectivity
  • Processing structured and unstructured clinical datasets
  • Managing eventing, APIs, and audit logging

Safety, Risk Mitigation, and Governance

  • Implementing guardrails, red-teaming, and fail-safe architectures
  • Handling PHI, de-identification, and access permissions
  • Establishing human-in-the-loop reviews and escalation protocols

Assessment and Continuous Monitoring

  • Conducting offline evaluations, defining golden sets, and setting KPIs
  • Detecting hallucinations and verifying factual accuracy
  • Ensuring observability, logging, and managing costs/latency

Deployment Strategies and Practical Lab

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

Recap and Future Directions

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.

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • 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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