Architecture and Performance Tuning for Healthcare Data Exchange
Keywords:
HL7 Fast Healthcare Interoperability Resources (FHIR), Real-Time Healthcare Data Exchange, Event-Driven Architecture, FHIR RESTful Services, Healthcare Systems Integration, Low-Latency Clinical Data Processing, Interoperability Standards in Healthcare, Event-Based Integration Patterns, Cloud-Enabled Healthcare Platforms, Secure Health Information Exchange, Protocol Translation Frameworks, Healthcare API Design, Life-Critical Clinical Systems, Publish–Subscribe Mechanisms, Open-Source Healthcare Integration Frameworks, Scalable Health IT Architectures.Abstract
The use of Health Level 7's Fast Healthcare Interoperability Resources (FHIR) for facilitating real-time data exchange among healthcare systems in life-critical scenarios enables patients to receive timely and appropriate treatment whenever and wherever they need it. FHIR provides models, rules, and interfaces for data exchange between computerized applications operating in the healthcare domain. Being a web-based standard, it can be easily deployed using an event-based architecture. Furthermore, it allows for online communications and moves away from standard file batch processes. The eventing mechanism facilitates the push of data from an event publisher to interested subscribers and notifies them of updates for resources of interest.
The increasing diversity and complexity of healthcare information systems, along with the demand for timely integration of data across these systems, point toward the need for a real-time event-based integration approach using FHIR REST services. Open-source frameworks have been developed for achieving the required integration. However, architectural decisions in designing such frameworks have a significant impact on their ability to support data exchange with low latency. The selection of an appropriate integration architecture is also crucial for meeting requirements such as interaction with external enterprises, protocol translation, security, and compliance with cloud deployment models. Therefore, several architecture patterns commonly considered and deployed for event-based integration using FHIR are discussed. Each architecture pattern is detailed, along with its strengths and weaknesses for supporting real-time data exchange.
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