IDEAS home Printed from https://ideas.repec.org/a/aph/ajpbhl/199989121885-1889_1.html
   My bibliography  Save this article

Preventable inpatient time: Adequacy of electronic patient information systems

Author

Listed:
  • Katz, D.L.
  • Mazhari, R.
  • Kalus, R.
  • Nawaz, H.

Abstract

Objectives. This study assessed hospital electronic patient information systems (EPIS) for inclusion of variables associated with avoidable and extended hospitalization (preventable inpatient time). Methods. We searched MEDLINE and HealthSTAR databases to identify predictors of preventable inpatient time. We then audited the admissions process and the handwritten medical record at 1 hospital and the EPIS at all hospitals, affiliated with the Yale University School of Medicine for inclusion of the predictors. Results. Whereas the written medical record included all 58 predictors, the EPIS of the 10 hospitals surveyed included an average of only 38% of the predictors. Conclusions. The conventional approach to information gathering during hospital admission is highly inefficient. Revising EPIS to include predictors of preventable inpatient time could enhance efficiency and quality, while reducing costs, of hospital care.

Suggested Citation

  • Katz, D.L. & Mazhari, R. & Kalus, R. & Nawaz, H., 1999. "Preventable inpatient time: Adequacy of electronic patient information systems," American Journal of Public Health, American Public Health Association, vol. 89(12), pages 1885-1889.
    • Handle: RePEc:aph:ajpbhl:1999:89:12:1885-1889_1
    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.

    Citations

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


    Cited by:

    1. Wu, Wenqing & Zhu, Dongyang & Liu, Wenyi & Wu, Chia-Huei, 2022. "Empirical research on smart city construction and public health under information and communications technology," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).

    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:aph:ajpbhl:1999:89:12:1885-1889_1. 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: Christopher F Baum (email available below). General contact details of provider: https://www.apha.org .

    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.