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 Duration 35 hours

Course Outline

LangGraph Fundamentals for Healthcare

  • Review of LangGraph architecture and core principles
  • Key healthcare use cases: patient triage, medical documentation, and compliance automation
  • Navigating constraints and opportunities in regulated environments

    Healthcare Data Standards and Ontologies

    • Overview of HL7, FHIR, SNOMED CT, and ICD
    • Incorporating ontologies into LangGraph workflows
    • Addressing data interoperability and integration challenges

      Workflow Orchestration in Healthcare

      • Designing patient-centric versus provider-centric workflows
      • Implementing decision branching and adaptive planning in clinical settings
      • Managing persistent state for longitudinal patient records

        Compliance, Security, and Privacy

        • Understanding HIPAA, GDPR, and regional healthcare regulations
        • Techniques for de-identification, anonymization, and secure logging
        • Maintaining audit trails and traceability during graph execution

          Reliability and Explainability

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

            Integration and Deployment

            • Connecting LangGraph with EHR/EMR systems
            • Containerization and deployment within healthcare IT environments
            • Managing monitoring, logging, and SLAs

              Case Studies and Advanced Scenarios

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

                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

    Audience

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

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