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Interoperability Is a Process - The Data Sharing Framework.

Hauke Hund1, Reto Wettstein2, Maximilian Kurscheidt1

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Summary
This summary is machine-generated.

A new Data Sharing Framework enhances healthcare interoperability for biomedical research. This platform supports critical research processes like cohort estimation and data sharing across organizations, improving data integration and collaboration.

Keywords:
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Area of Science:

  • Health Informatics
  • Bio-medical Research
  • Healthcare Interoperability

Background:

  • Healthcare interoperability standards focus on syntax and semantics, but lack support for cross-organizational data exchange processes in biomedical research.
  • Existing solutions primarily cater to healthcare delivery, leaving a gap for research-specific integration needs.

Purpose of the Study:

  • To introduce a Data Sharing Framework designed to facilitate interoperable data exchange processes for biomedical research.
  • To enable essential research operations such as cohort size estimation, proposal reviews, consent management, and data sharing across multiple organizations.

Main Methods:

  • Implementation of a distributed business process engine utilizing Business Process Model and Notation (BPMN) 2.0.
  • Synchronization and data exchange are managed using Fast Healthcare Interoperability Resources (FHIR) R4 standards.

Main Results:

  • The framework successfully supports diverse research processes including cohort estimation, approvals, consent checks, record linkage, pseudonymization, and data sharing.
  • A reference implementation has been deployed across 38 organizations within three German research consortia.

Conclusions:

  • The Data Sharing Framework addresses the limited support for research-specific processes in current healthcare interoperability solutions.
  • The open-source framework promotes cross-organizational collaboration and data integration for biomedical research, with successful real-world deployment.