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Duration 35 hours
Course Outline
Foundations of LangGraph in Healthcare
- Review of LangGraph core architecture and guiding principles
- Key healthcare applications: patient triage, medical documentation, and compliance automation
- Navigating constraints and leveraging opportunities in regulated environments
Healthcare Data Standards and Ontologies
- Overview of HL7, FHIR, SNOMED CT, and ICD frameworks
- Incorporating ontologies into LangGraph workflow designs
- Addressing data interoperability and integration complexities
Workflow Orchestration for Clinical Settings
- Designing workflows centered on patient needs versus provider operations
- Implementing decision branching and adaptive planning for clinical contexts
- Managing persistent state for longitudinal patient records
Compliance, Security, and Privacy
- Understanding HIPAA, GDPR, and other regional healthcare regulations
- Implementing de-identification, anonymization, and secure logging practices
- Establishing audit trails and ensuring traceability during graph execution
Reliability and Explainability
- Designing fault-tolerant systems with robust error handling and retries
- Incorporating human-in-the-loop decision support mechanisms
- Ensuring explainability and transparency in medical workflows
Integration and Deployment Strategies
- Connecting LangGraph applications with EHR/EMR systems
- Containerization and deployment within healthcare IT infrastructure
- Overseeing monitoring, logging, and SLA management
Case Studies and Advanced Scenarios
- Automating medical coding and billing workflows
- Leveraging AI for diagnosis support and clinical triage
- Streamlining compliance reporting and documentation processes
Course Summary and Future Directions
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.
