IDEAS home Printed from https://ideas.repec.org/a/spr/rvmgts/v18y2024i3d10.1007_s11846-023-00699-w.html
   My bibliography  Save this article

Artificial intelligence in healthcare services: past, present and future research directions

Author

Listed:
  • W. Shabeena Shah

    (MEASI Institute of Management)

  • Zakaria Elkhwesky

    (Alexandria University)

  • K. Mohamed Jasim

    (VIT Business School, Vellore Institute of Technology)

  • Esraa Fayez Youssif Elkhwesky

    (Egyptian Russian University)

  • Fady Fayez Youssif Elkhwesky

    (Badr University in Cairo)

Abstract

Academics and practitioners are paying increasing attention to service automation and taking advantage of the tremendous opportunities offered by artificial intelligence (AI). The requirement to deliver effective services has greatly increased interest in this topic. In the current study, we examined how AI is being used in healthcare. We searched the Scopus database for articles to obtain a thorough understanding of current research on AI in healthcare. After excluding articles not closely related to the topic, 190 articles (from 1992 to May 2022) were selected for in-depth analysis. This study provided a bibliometric analysis of the co-occurrence of keywords, citations, co-citations, bibliographic links, and number of publications. We identified under-researched areas in the field of AI in healthcare and highlighted important directions for future research.

Suggested Citation

  • W. Shabeena Shah & Zakaria Elkhwesky & K. Mohamed Jasim & Esraa Fayez Youssif Elkhwesky & Fady Fayez Youssif Elkhwesky, 2024. "Artificial intelligence in healthcare services: past, present and future research directions," Review of Managerial Science, Springer, vol. 18(3), pages 941-963, March.
  • Handle: RePEc:spr:rvmgts:v:18:y:2024:i:3:d:10.1007_s11846-023-00699-w
    DOI: 10.1007/s11846-023-00699-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11846-023-00699-w
    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/s11846-023-00699-w?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.

    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:rvmgts:v:18:y:2024:i:3:d:10.1007_s11846-023-00699-w. 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.