IDEAS home Printed from https://ideas.repec.org/a/taf/thssxx/v5y2016i1p29-42.html
   My bibliography  Save this article

Using social network analysis to identify the most central services in an emergency department

Author

Listed:
  • Jerome Niyirora
  • Jennifer Klimek-Yingling

Abstract

In the past decade, emergency department (ED) overcrowding has become an internationally recognized problem that is associated with adverse patient care and safety. ED overcrowding is caused by multi-factorial system issues, many of which are outside the control of ED managers. In this paper we propose service-based approaches to improving ED throughput via social network analysis. We first construct a service network using Current Procedural Terminology codes. Then degree, betweenness, and eigenvector centrality measures are applied to rank each service. Combined with practical knowledge of ED operations, the rankings help us identify the most central services that are likely to help improve throughput, if administered at the point of care or resources are allocated to them appropriately.

Suggested Citation

  • Jerome Niyirora & Jennifer Klimek-Yingling, 2016. "Using social network analysis to identify the most central services in an emergency department," Health Systems, Taylor & Francis Journals, vol. 5(1), pages 29-42, March.
    • Handle: RePEc:taf:thssxx:v:5:y:2016:i:1:p:29-42
    DOI: 10.1057/hs.2014.30
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/hs.2014.30
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/hs.2014.30?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.

    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:taf:thssxx:v:5:y:2016:i:1:p:29-42. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/thss .

    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.