Pragmatic Approaches to Interoperability – Surmounting Barriers to Healthcare Data and Information Across Organizations and Political Boundaries
Bharath Perugu, MBA, Varun Wadhwa, BS, Jin Kim, ME, Jenny Cai, BS (Candidate), Audrey Shin, BS (Candidate), Amar Gupta, MBA, PhD
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This paper provides a review of the landscape of interoperability efforts in healthcare from 2010 to 2023, in the US and abroad. A literature review was conducted on established interoperability standards and systems in healthcare, based on information obtained from journal publications, government, academy reports, published materials, and publicly
available websites. The review emphasizes four interoperability parameters: device/equipment interoperability, compatibility issues, involved organizations, and migration and conversion issues. It evaluates adoption levels for each standard, evaluating factors supporting and/or limiting systemic adoption. Estimations on the number of users – both medical professionals and patients – for each system were made in instances where verifiable data were available. The review is followed by
recommendations for future work toward improving the standardization of heterogeneous data in the healthcare setting.
Read details at DOI: https://doi.org/10.30953/thmt.v8.421
Surmounting Barriers to Healthcare Data and Information: International Case Studies
Bharath Perugu, MBA, Varun Wadhwa, BS, Jin Kim, ME, Jenny Cai, BS (Candidate), Audrey Shin, BS (Candidate), Amar Gupta,
MBA/PhD
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In this article, the authors review the progress in healthcare interoperability from 2010 to 2023 including
the Republic of China (Taiwan), the Republic of Croatia, the Republic of Estonia, and the Commonwealth of Australia. Interoperability, within the context “the ability to share information across time and space from multiple devices, sources, and organizations,” as defined by the Institute of Electrical and Electronic Engineers (IEEE). This is followed by recommendations for future work toward improving the standardization of heterogeneous data in the healthcare setting.
Read details at DOI: https://doi.org/10.30953/thmt.v8.428