IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v383y2025ics0277953625007683.html
   My bibliography  Save this article

Expectation vs reality: A case study of the impact of the da Vinci surgical robot on healthcare professionals’ work experiences

Author

Listed:
  • Liu, Hong Yu
  • Hayton, James

Abstract

In recent years, considerable academic attention has been devoted to the use of new technology in the healthcare sector. However, there is limited empirical knowledge about how everyday professional work is affected or how professionals actually experience these changes. This article assesses the introduction of the da Vinci surgical robot in the colorectal surgery department of a National Health Service Hospital in England. It argues that the impact of technology on healthcare workers is not predetermined by the characteristics of a technology and should be understood as a combination of positive and negative experiences in specific, highly contextualised workplace settings. Benefits to patients of the da Vinci surgical robot are clinically promising, but its implementation continues to be difficult, and the trade-offs look much different for varying employee groups. Our ethnographic method enables us to present this finding in granular detail: the da Vinci surgical robot can improve the morale and occupational health of the healthcare professionals in this hospital, yet negative impacts such as anxiety associated with conducting new operation procedures are commonly experienced by surgical team members. This article covers themes such as recruitment, preparation, and training, and offers much-needed insights into the long-term development of the healthcare workforce in England and beyond.

Suggested Citation

  • Liu, Hong Yu & Hayton, James, 2025. "Expectation vs reality: A case study of the impact of the da Vinci surgical robot on healthcare professionals’ work experiences," Social Science & Medicine, Elsevier, vol. 383(C).
  • Handle: RePEc:eee:socmed:v:383:y:2025:i:c:s0277953625007683
    DOI: 10.1016/j.socscimed.2025.118437
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953625007683
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2025.118437?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:socmed:v:383:y:2025:i:c:s0277953625007683. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.