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 Duration 35 hours

Course Outline

LangGraph Fundamentals in a Healthcare Context

  • Review of LangGraph architecture and core principles
  • Key healthcare applications: patient triage, medical documentation, and compliance automation
  • Navigating constraints and leveraging opportunities in regulated settings

Healthcare Data Standards and Ontologies

  • Overview of HL7, FHIR, SNOMED CT, and ICD frameworks
  • Integrating ontologies into LangGraph workflow designs
  • Addressing data interoperability and integration challenges

Orchestrating Healthcare Workflows

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

Compliance, Security, and Privacy Protocols

  • Adhering to HIPAA, GDPR, and other regional healthcare regulations
  • Techniques for de-identification, anonymization, and secure logging
  • Establishing audit trails and ensuring traceability in graph execution

Ensuring Reliability and Explainability

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

System Integration and Deployment

  • Connecting LangGraph with EHR/EMR systems
  • Containerization and deployment strategies for healthcare IT environments
  • Managing monitoring, logging, and SLA requirements

Case Studies and Advanced Scenarios

  • Workflows for automated medical coding and billing
  • AI-assisted diagnosis support and clinical triage processes
  • Automation of compliance reporting and documentation

Summary and Recommended Next Steps

Requirements

  • Intermediate proficiency in Python and LLM application development
  • Familiarity with healthcare data standards (such as HL7 and FHIR) is advantageous
  • Basic understanding of LangChain or LangGraph concepts

Target Audience

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

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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