IDEAS home Printed from https://ideas.repec.org/a/plo/pdig00/0001318.html

Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals

Author

Listed:
  • Fuad Farajalla
  • Mousa Farajallah
  • Nesreen Alqaissi
  • Mohammad Qtait
  • Zeenat Mousa Mesk

Abstract

Electronic Health Records (EHRs) have revolutionized patient care and data management, but their integration may disrupt workflow. Palestine recently introduced EHRs in their hospitals, yet no local data exist on nursing workflow. This study aims to assess the impact of EHRs on workflow efficiency and associated factors among nurses with direct paper-to-EHR transition experience. A quantitative, cross-sectional study design was employed. A convenience sample of 185 nurses was recruited from medical and surgical wards across selected hospitals. Data were collected via a structured questionnaire and analyzed using SPSS version 29 using descriptive statistics and multiple linear regressions, with significance set at p

Suggested Citation

  • Fuad Farajalla & Mousa Farajallah & Nesreen Alqaissi & Mohammad Qtait & Zeenat Mousa Mesk, 2026. "Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals," PLOS Digital Health, Public Library of Science, vol. 5(3), pages 1-13, March.
  • Handle: RePEc:plo:pdig00:0001318
    DOI: 10.1371/journal.pdig.0001318
    as

    Download full text from publisher

    File URL: https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0001318
    Download Restriction: no

    File URL: https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0001318&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pdig.0001318?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
    ---><---

    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:plo:pdig00:0001318. 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: digitalhealth (email available below). General contact details of provider: https://journals.plos.org/digitalhealth .

    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.