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 Duration 35 hours

Course Outline

LangGraph Fundamentals in a Healthcare Context

  • A refresher on LangGraph architecture and core principles.
  • Key healthcare applications: patient triage, medical documentation, and compliance automation.
  • Navigating the constraints and opportunities within regulated environments.

Healthcare Data Standards and Ontologies

  • An introduction to HL7, FHIR, SNOMED CT, and ICD.
  • Integrating ontologies into LangGraph workflows.
  • Addressing data interoperability and integration complexities.

Workflow Orchestration for Healthcare

  • Designing workflows that are either patient-centric or provider-centric.
  • Implementing decision branching and adaptive planning in clinical settings.
  • Managing persistent state for longitudinal patient records.

Compliance, Security, and Privacy

  • Overview of HIPAA, GDPR, and other regional healthcare regulations.
  • Techniques for de-identification, anonymization, and secure logging.
  • Maintaining audit trails and traceability throughout graph execution.

Reliability and Explainability

  • Strategies for error handling, retries, and fault-tolerant design.
  • Incorporating human-in-the-loop decision support mechanisms.
  • Ensuring explainability and transparency in medical workflows.

Integration and Deployment

  • Connecting LangGraph with EHR/EMR systems.
  • Containerization and deployment within healthcare IT infrastructure.
  • Establishing monitoring, logging, and SLA management protocols.

Case Studies and Advanced Scenarios

  • Automating medical coding and billing workflows.
  • Implementing AI-assisted diagnosis support and clinical triage.
  • Streamlining compliance reporting and documentation automation.

Summary and Next Steps

Requirements

  • Intermediate proficiency in Python and LLM application development.
  • A solid understanding of healthcare data standards (e.g., HL7, FHIR) is advantageous.
  • Basic familiarity with LangChain or LangGraph concepts.

Target Audience

  • Domain technologists.
  • Solution architects.
  • Consultants developing LLM agents within regulated industries.

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