Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Agentic AI Fundamentals for Healthcare
- Distinguishing agentic systems from tool-only LLM applications.
- Defining autonomy boundaries, policy frameworks, and human oversight roles.
- Navigating the healthcare data landscape, including EHR, FHIR, and PHI constraints.
Architecting Agent Workflows
Retrieval-Augmented Agent Development
- Ingesting and chunking medical documentation.
- Utilizing embeddings, vector databases, and assessing relevance.
- Ensuring response accuracy through grounding and citation strategies.
Healthcare Integration and Interoperability
- FHIR/SMART fundamentals for seamless agent connectivity.
- Managing structured and unstructured clinical data.
- Implementing eventing, API interactions, and comprehensive audit trails.
Safety, Risk Management, and Governance
- Managing PHI through de-identification and strict access controls.
- Establishing human-in-the-loop review processes and escalation protocols.
Evaluation and Continuous Monitoring
- Conducting offline evaluations, defining golden sets, and establishing KPIs.
- Detecting hallucinations and verifying factual accuracy.
Deployment Strategies and Practical Lab
- Evaluating API-based versus on-premise model deployment options.
- Constructing a retrieval-augmented agent using LangChain, FastAPI, and ChromaDB.
- Simulating incident response scenarios and rollback procedures.
Recap and Future Directions
Requirements
- Proficiency in fundamental Python programming.
- Practical experience with data analytics or machine learning workflows.
- Working knowledge of healthcare data standards and concepts (e.g., EHR, FHIR).
Target Audience
- Healthcare data scientists and machine learning engineers.
- Clinical informatics specialists and digital health product teams.
- IT executives and innovation managers operating within the healthcare sector.
