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A mashup based framework for multi level healthcare interoperability

Author

Listed:
  • Payam Sadeghi

    (University of Ottawa)

  • Morad Benyoucef

    (University of Ottawa)

  • Craig E. Kuziemsky

    (University of Ottawa)

Abstract

Healthcare delivery is evolving from disease-centered to patient-centered care delivery where patients are active participants in their healthcare delivery. This calls for more communication and collaboration among all healthcare actors. There is also an increasing demand for personalized healthcare systems that provide effective information management, facilitate communication and collaboration, and support applications to meet user requirements. To address these challenges, we need to advance the integration and interoperability of healthcare applications in a controlled manner. Drawing upon a conceptual model from a collaborative care case study, we identified a set of interoperability requirements and developed a Mashup based interoperability framework. Our framework allows patients and other healthcare actors to engage in collaborative processes through online applications facilitated by mashups. We then use proof-of-concept implementations to demonstrate how our framework is able to facilitate different types of interoperability. We believe that collaborative technologies such as mashups can implement process interoperability requirements to support collaborative care delivery, particularly for asynchronous care delivery.

Suggested Citation

  • Payam Sadeghi & Morad Benyoucef & Craig E. Kuziemsky, 2012. "A mashup based framework for multi level healthcare interoperability," Information Systems Frontiers, Springer, vol. 14(1), pages 57-72, March.
    • Handle: RePEc:spr:infosf:v:14:y:2012:i:1:d:10.1007_s10796-011-9306-0
    DOI: 10.1007/s10796-011-9306-0
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    Citations

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    Cited by:

    1. Wang, Yichuan & Hajli, Nick, 2017. "Exploring the path to big data analytics success in healthcare," Journal of Business Research, Elsevier, vol. 70(C), pages 287-299.
    2. Jens Weber-Jahnke & Liam Peyton & Thodoros Topaloglou, 2012. "eHealth system interoperability," Information Systems Frontiers, Springer, vol. 14(1), pages 1-3, March.
    3. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    4. Abadie, Amelie & Roux, Mélanie & Chowdhury, Soumyadeb & Dey, Prasanta, 2023. "Interlinking organisational resources, AI adoption and omnichannel integration quality in Ghana’s healthcare supply chain," Journal of Business Research, Elsevier, vol. 162(C).
    5. Grace Fox & Tabitha L. James, 2021. "Toward an Understanding of the Antecedents to Health Information Privacy Concern: A Mixed Methods Study," Information Systems Frontiers, Springer, vol. 23(6), pages 1537-1562, December.
    6. Jun Sun & Zhe Qu, 2015. "Understanding health information technology adoption: A synthesis of literature from an activity perspective," Information Systems Frontiers, Springer, vol. 17(5), pages 1177-1190, October.
    7. Korayim, Diana & Chotia, Varun & Jain, Girish & Hassan, Sharfa & Paolone, Francesco, 2024. "How big data analytics can create competitive advantage in high-stake decision forecasting? The mediating role of organizational innovation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).

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