IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v14y2012i1d10.1007_s10796-011-9306-0.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-011-9306-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-011-9306-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. Jens Weber-Jahnke & Liam Peyton & Thodoros Topaloglou, 2012. "eHealth system interoperability," Information Systems Frontiers, Springer, vol. 14(1), pages 1-3, March.
    4. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    5. 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.
    6. 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).
    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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:14:y:2012:i:1:d:10.1007_s10796-011-9306-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.