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GameBus on FHIR.

Cunliang Geng1, Alireza Khanshan2, Pieter van Gorp2

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Summary
This summary is machine-generated.

Integrating a Fast Healthcare Interoperability Resources (FHIR) layer into the GameBus platform enhances healthcare data interoperability. This solution uses open-source tools, enabling standardized data exchange without altering the existing system.

Keywords:
FHIRFHIR APIGameBusdata harmonization

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Area of Science:

  • Health Informatics
  • Computer Science
  • Digital Health

Background:

  • Healthcare data interoperability is hindered by diverse data schemas and APIs.
  • The GameBus gamified health platform traditionally used proprietary data formats, limiting external data exchange.

Purpose of the Study:

  • To enhance the interoperability of the GameBus platform.
  • To integrate a Fast Healthcare Interoperability Resources (FHIR) layer for standardized data sharing.

Main Methods:

  • Developed a FHIR layer as a standalone microservice.
  • Utilized open-source technologies: Google HCLS Data Harmonization tool for data transformation and HAPI FHIR framework for RESTful services.
  • Ensured no modifications to the existing GameBus architecture.

Main Results:

  • Successfully integrated a FHIR layer into the GameBus platform.
  • Enabled data sharing using standardized FHIR formats and APIs.
  • Demonstrated a generic approach to achieving interoperability in healthcare platforms.

Conclusions:

  • The FHIR layer significantly improves GameBus's interoperability.
  • The implemented solution provides a scalable and adaptable method for healthcare data integration.
  • This approach offers a blueprint for enhancing interoperability across various digital health platforms.