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Advancing the Understanding of the Role of Responsible AI in the Continued Use of IoMT in Healthcare

Author

Listed:
  • Fatema Al-Dhaen

    (University of Bradford)

  • Jiachen Hou

    (University of Bradford)

  • Nripendra P. Rana

    (Qatar University)

  • Vishanth Weerakkody

    (University of Bradford)

Abstract

This paper examines the continuous intention by healthcare professionals to use the Internet of Medical Things (IoMT) in combination with responsible artificial intelligence (AI). Using the theory of Diffusion of Innovation (DOI), a model was developed to determine the continuous intention to use IoMT taking into account the risks and complexity involved in using AI. Data was gathered from 276 healthcare professionals through a survey questionnaire across hospitals in Bahrain. Empirical outcomes reveal nine significant relationships amongst the constructs. The findings show that despite contradictions associated with AI, continuous intention to use behaviour can be predicted during the diffusion of IoMT. This study advances the understanding of the role of responsible AI in the continued use of IoMT in healthcare and extends DOI to address the diffusion of two innovations concurrently.

Suggested Citation

  • Fatema Al-Dhaen & Jiachen Hou & Nripendra P. Rana & Vishanth Weerakkody, 2023. "Advancing the Understanding of the Role of Responsible AI in the Continued Use of IoMT in Healthcare," Information Systems Frontiers, Springer, vol. 25(6), pages 2159-2178, December.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:6:d:10.1007_s10796-021-10193-x
    DOI: 10.1007/s10796-021-10193-x
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    Cited by:

    1. Uthayasankar Sivarajah & Yichuan Wang & Hossein Olya & Sherin Mathew, 2023. "Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics," Information Systems Frontiers, Springer, vol. 25(6), pages 2117-2122, December.

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