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Context matters: A review of the determinant factors in the decision to adopt cloud computing in healthcare

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  • Gao, Fangjian
  • Sunyaev, Ali

Abstract

Cloud computing is an IT service paradigm that can, if used meaningfully, enhance traditional health IT approaches and offer major benefits to the healthcare industry. However, its adoption by healthcare organizations has been accompanied by diverse challenges that could impede its meaningful use. Decisions about its adoption should be made after serious consideration of relevant industry-specific factors. Whereas the literature has focused on cloud computing adoption in general, the industrial specificities that influence the decision to adopt cloud computing in the healthcare context have yet to be systematically addressed. We reviewed empirical studies on both information systems and medical informatics to investigate the determinant factors of the cloud computing adoption decision in healthcare organizations and the industrial specificities of those factors. Based on the results of our review, we proposed a conceptual framework of cloud computing adoption studies in healthcare and made seven recommendations for related future research. Our research contributes to the theory by providing a comprehensive list of industry-specific factors that influence cloud computing adoption decisions in healthcare and explains their specificities for the healthcare industry. For practitioners, the identified factors serve as a checklist that informs healthcare organizations’ decision making regarding cloud computing adoption.

Suggested Citation

  • Gao, Fangjian & Sunyaev, Ali, 2019. "Context matters: A review of the determinant factors in the decision to adopt cloud computing in healthcare," International Journal of Information Management, Elsevier, vol. 48(C), pages 120-138.
    • Handle: RePEc:eee:ininma:v:48:y:2019:i:c:p:120-138
    DOI: 10.1016/j.ijinfomgt.2019.02.002
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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. Savvas Papagiannidis & Dinara Davlembayeva, 2022. "Bringing Smart Home Technology to Peer-to-Peer Accommodation: Exploring the Drivers of Intention to Stay in Smart Accommodation," Information Systems Frontiers, Springer, vol. 24(4), pages 1189-1208, August.
    3. Shahbaz, Muhammad & Zahid, Rimsha, 2022. "Probing the factors influencing cloud computing adoption in healthcare organizations: A three-way interaction model," Technology in Society, Elsevier, vol. 71(C).
    4. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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