Skip to content
Topics Covered:
- Introduction to HL7 and FHIR Standards
- Overview of HL7 (Health Level 7) and FHIR (Fast Healthcare Interoperability Resources).
- Explanation of HL7's pipe-delimited format and FHIR’s RESTful framework.
- Technical Differences Between HL7 and FHIR
- HL7’s reliance on TCP/IP and the need for VPNs to secure data.
- FHIR’s modern API-based approach uses JSON and XML formats.
- How FHIR uses RESTful APIs for easier, more flexible integration.
- Challenges with HL7
- Limitations in HL7 for real-time data exchange and encryption.
- Customized fields (Z segments) in HL7 messages are needed.
- Examples of legacy system constraints include Cerner’s inability to send real-time medical administration messages.
- Real-World Scenarios for HL7 and FHIR Usage
- How healthcare systems handle data exchange with HL7 and FHIR.
- The necessity of a hybrid approach for real-time and non-real-time data needs.
- The Role of HL7 and Integration Engines
- The importance of integration engines to manage multiple system connections.
- The concept of "HL7 engines" or integration engines acting as a central hub for data flow between systems.
- How integration engines reduce complexity at scale.
- Real-Time vs. Batch Data Exchange
- When to use HL7 for real-time messaging and FHIR for data pulling.
- Hybrid solutions for scheduling data, notifications, and clinical workflows.
- EHR Support for HL7 and FHIR
- Variability in support for HL7 and FHIR across different EHR systems.
- Challenges with smaller EHRs and systems like eClinicalWorks in supporting both standards.
- The role of proprietary APIs in some EHR systems.
- Cost and Complexity of Integration for Health Tech Companies
- The financial and operational burden on health tech companies to maintain integrations with HL7 and FHIR.
- The importance of pre-built connections and automation in reducing integration costs and time.
- Fethr Health’s Approach to Simplifying Integration
- How Fethr Health simplifies HL7 and FHIR integration with pre-built connections and workflow automation.
- Enabling faster and more efficient data exchange without needing extensive coding.