IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v585y2020i7824d10.1038_s41586-020-2669-y.html
   My bibliography  Save this article

Illuminating the dark spaces of healthcare with ambient intelligence

Author

Listed:
  • Albert Haque

    (Stanford University)

  • Arnold Milstein

    (Stanford University School of Medicine)

  • Li Fei-Fei

    (Stanford University
    Stanford University)

Abstract

Advances in machine learning and contactless sensors have given rise to ambient intelligence—physical spaces that are sensitive and responsive to the presence of humans. Here we review how this technology could improve our understanding of the metaphorically dark, unobserved spaces of healthcare. In hospital spaces, early applications could soon enable more efficient clinical workflows and improved patient safety in intensive care units and operating rooms. In daily living spaces, ambient intelligence could prolong the independence of older individuals and improve the management of individuals with a chronic disease by understanding everyday behaviour. Similar to other technologies, transformation into clinical applications at scale must overcome challenges such as rigorous clinical validation, appropriate data privacy and model transparency. Thoughtful use of this technology would enable us to understand the complex interplay between the physical environment and health-critical human behaviours.

Suggested Citation

  • Albert Haque & Arnold Milstein & Li Fei-Fei, 2020. "Illuminating the dark spaces of healthcare with ambient intelligence," Nature, Nature, vol. 585(7824), pages 193-202, September.
    • Handle: RePEc:nat:nature:v:585:y:2020:i:7824:d:10.1038_s41586-020-2669-y
    DOI: 10.1038/s41586-020-2669-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-020-2669-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/s41586-020-2669-y?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tinglong Dai & Sridhar Tayur, 2022. "Designing AI‐augmented healthcare delivery systems for physician buy‐in and patient acceptance," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4443-4451, December.
    2. Han, Yilong & Li, Yinbo & Li, Yongkui & Yang, Bin & Cao, Lingyan, 2023. "Digital twinning for smart hospital operations: Framework and proof of concept," Technology in Society, Elsevier, vol. 74(C).
    3. Stahl, Bernd Carsten & Brooks, Laurence & Hatzakis, Tally & Santiago, Nicole & Wright, David, 2023. "Exploring ethics and human rights in artificial intelligence – A Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Mohamed-Amine Choukou & Sophia Mbabaali & Ryan East, 2021. "Healthcare Professionals’ Perspective on Implementing a Detector of Behavioural Disturbances in Long-Term Care Homes," IJERPH, MDPI, vol. 18(5), pages 1-16, March.

    More about this item

    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:nat:nature:v:585:y:2020:i:7824:d:10.1038_s41586-020-2669-y. 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.nature.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.