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Making use of cloud computing for healthcare provision: Opportunities and challenges

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  • Sultan, Nabil

Abstract

Cloud or utility computing is an emerging new computing paradigm designed to deliver numerous computing services through networked media such as the Web. This approach offers several advantages to potential users such as “metered” use (i.e., pay-as-you-go) which offers scalability, online delivery of software and virtual hardware services (e.g., collaboration programmes, virtual servers, virtual storage devices) which would enable organizations to obviate the need to own, maintain and update their software and hardware infrastructures. The flexibility of this emerging computing service has opened many possibilities for organizations that did not exist before. Among those organizations are those engaged in healthcare provision. The aim of this article is to shed some light on this development and explore the potential (and future) of cloud computing in contributing to the advancement of healthcare provision. A small case study will also be presented and discussed.

Suggested Citation

  • Sultan, Nabil, 2014. "Making use of cloud computing for healthcare provision: Opportunities and challenges," International Journal of Information Management, Elsevier, vol. 34(2), pages 177-184.
    • Handle: RePEc:eee:ininma:v:34:y:2014:i:2:p:177-184
    DOI: 10.1016/j.ijinfomgt.2013.12.011
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    1. Sultan, Nabil, 2010. "Cloud computing for education: A new dawn?," International Journal of Information Management, Elsevier, vol. 30(2), pages 109-116.
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    Cited by:

    1. Xuan Wang & Jun Sun & Ying Wang & Yi Liu, 2022. "Deepen electronic health record diffusion beyond breadth: game changers and decision drivers," Information Systems Frontiers, Springer, vol. 24(2), pages 537-548, April.
    2. Jayalaxmi P Shetty & Rajesh Panda, 2021. "An overview of cloud computing in SMEs," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 175-188, December.
    3. Imran Ali & Devika Kannan, 2022. "Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review," Annals of Operations Research, Springer, vol. 315(1), pages 29-55, August.
    4. Singha, Sumanta & Arha, Himanshu & Kar, Arpan Kumar, 2023. "Healthcare analytics: A techno-functional perspective," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    5. Karaca, Yeliz & Moonis, Majaz & Zhang, Yu-Dong & Gezgez, Caner, 2019. "Mobile cloud computing based stroke healthcare system," International Journal of Information Management, Elsevier, vol. 45(C), pages 250-261.
    6. Senyo, Prince Kwame & Addae, Erasmus & Boateng, Richard, 2018. "Cloud computing research: A review of research themes, frameworks, methods and future research directions," International Journal of Information Management, Elsevier, vol. 38(1), pages 128-139.
    7. Ali, Omar & Shrestha, Anup & Soar, Jeffrey & Wamba, Samuel Fosso, 2018. "Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review," International Journal of Information Management, Elsevier, vol. 43(C), pages 146-158.
    8. Sultan, Nabil, 2015. "Reflective thoughts on the potential and challenges of wearable technology for healthcare provision and medical education," International Journal of Information Management, Elsevier, vol. 35(5), pages 521-526.
    9. Rahman, Mohammad Saidur & Khalil, Ibrahim & Yi, Xun, 2019. "A lossless DNA data hiding approach for data authenticity in mobile cloud based healthcare systems," International Journal of Information Management, Elsevier, vol. 45(C), pages 276-288.
    10. Kaw, Javaid A. & Loan, Nazir A. & Parah, Shabir A. & Muhammad, K. & Sheikh, Javaid A. & Bhat, G.M., 2019. "A reversible and secure patient information hiding system for IoT driven e-health," International Journal of Information Management, Elsevier, vol. 45(C), pages 262-275.

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