IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-030-90275-9_5.html
   My bibliography  Save this book chapter

Introducing AI General Practitioners to Improve Healthcare Services

In: AI and Analytics for Smart Cities and Service Systems

Author

Listed:
  • Haoyu Liu

    (City University of Macau)

  • Ying-Ju Chen

    (Hong Kong University of Science and Technology)

Abstract

Artificial intelligence (AI) is being prevalently adopted in healthcare. Its contributions are witnessed in a range of services, including prognosis, diagnosis, and treatment, as well as in expanding the availability of clinical expertise. This paper studies the impact of an AI general practitioner on healthcare service systems, particularly physicians’ workloads and patients’ waiting times. We compare the service system with the AI general practitioner to the traditional two-tier service system, where the first level serves as a gatekeeper for the second level. The results provide valuable insights and implications for public policy on adopting AI in hospitals from an operational perspective.

Suggested Citation

  • Haoyu Liu & Ying-Ju Chen, 2021. "Introducing AI General Practitioners to Improve Healthcare Services," Lecture Notes in Operations Research, in: Robin Qiu & Kelly Lyons & Weiwei Chen (ed.), AI and Analytics for Smart Cities and Service Systems, pages 55-64, Springer.
    • Handle: RePEc:spr:lnopch:978-3-030-90275-9_5
    DOI: 10.1007/978-3-030-90275-9_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:lnopch:978-3-030-90275-9_5. 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.