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Community of Interoperability Labs: Pragmatic Approach to Achieving Interoperability.

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The Asia eHealth Information Network (AeHIN) developed the "Mind the GAPS, Fill the GAPS" framework and Community of Interoperability Labs (COIL) to address health data interoperability challenges. These initiatives foster collaboration for national and international health data exchange.

Keywords:
Digital healtharchitecturegovernanceinteroperabilitystandards

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Area of Science:

  • Health Informatics
  • Digital Health
  • Health Information Exchange

Background:

  • Achieving health data interoperability requires addressing complex socio-technical challenges.
  • The Asia eHealth Information Network (AeHIN) recognized the need for structured support for countries facing these challenges.

Purpose of the Study:

  • To introduce the "Mind the GAPS, Fill the GAPS" framework and the Community of Interoperability Labs (COIL) as solutions for health data interoperability.
  • To highlight the role of collaborative networks in overcoming barriers to data exchange.

Main Methods:

  • Development of the "Mind the GAPS, Fill the GAPS" framework by AeHIN in 2017.
  • Establishment of the Community of Interoperability Labs (COIL) in 2018, comprising labs from six countries.
  • Utilizing a networked learning approach within COIL to share knowledge and resources.

Main Results:

  • The framework and COIL provide a structured approach to identifying and addressing interoperability challenges.
  • COIL facilitates a trustworthy environment for stakeholders to collaborate on common problems.
  • Networked learning within COIL enhances the potential for interoperability at national and international levels.

Conclusions:

  • Collaborative initiatives like COIL are crucial for advancing health data interoperability.
  • The networked learning model effectively promotes knowledge sharing and problem-solving among diverse stakeholders.
  • Successful interoperability contributes to improved national and international understanding of health data.