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Factors Affecting The Adoption Of Artificial Intelligence In Healthcare

Author

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  • Magda Hercheui
  • Gianluca Mech

Abstract

This paper investigates how clinicians perceive the usefulness and the ease of use of Artificial Intelligence (AI) in healthcare. The paper aims to understand whether AI solutions are perceived to have a positive impact on patient care and the clinician’ work, and which factors affects the adoption of AI in healthcare. The paper draws upon key concepts of TAM (Technology Acceptance Model), adopting an exploratory approach. Semi-structured interviews with 22 clinicians from the NHS (the National Health System, in the United Kingdom) reveal that they perceive the usefulness of AI for healthcare (better efficiency, healthcare quality, and diagnostic accuracy). However, respondents point out factors which affect the way they perceive the ease of use of AI, such as the difficulty to integrate the technology within healthcare systems (low compatibility) and to understand the technology (high complexity), concerns with ethical issues, and the need to have intensive training on digital skills.

Suggested Citation

  • Magda Hercheui & Gianluca Mech, 2021. "Factors Affecting The Adoption Of Artificial Intelligence In Healthcare," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 15(1), pages 77-88.
  • Handle: RePEc:ibf:gjbres:v:15:y:2021:i:1:p:77-88
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    Cited by:

    1. Singh, Nidhi & Jain, Monika & Kamal, Muhammad Mustafa & Bodhi, Rahul & Gupta, Bhumika, 2024. "Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    More about this item

    Keywords

    Artificial Intelligence; Healthcare Systems; UK NHS; Technology Acceptance Model;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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