IDEAS home Printed from https://ideas.repec.org/a/ids/ijpubp/v2y2007i3-4p281-297.html
   My bibliography  Save this article

Health information technology: will it make higher quality and more efficient healthcare delivery possible?

Author

Listed:
  • Jay J. Shen

Abstract

Holding a new promise for improving efficiency and quality and reducing cost, Health Information Technology (HIT) has become the latest national priority. Selecting three evidence-based national quality indicator systems/models as examples, this paper examines relationships between quality of care and HIT as well as their economic implications. The analysis focuses on the three systems' overall goals; targeted healthcare facilities; data sources; quality indicator measures; data format/standardisation; stages of development; levels of adaptation; and complexity of IT infrastructure including inter-operability, patient involvement, resource requirements, and potential financial gains. The discussion concludes that although enormous challenges are ahead, through joint efforts by all partners and players relating to the healthcare system, the Electronic Health Record (EHR) information system has a potential to fundamentally transform the healthcare delivery to a high-quality and efficient system, which will ultimately benefit patients.

Suggested Citation

  • Jay J. Shen, 2007. "Health information technology: will it make higher quality and more efficient healthcare delivery possible?," International Journal of Public Policy, Inderscience Enterprises Ltd, vol. 2(3/4), pages 281-297.
  • Handle: RePEc:ids:ijpubp:v:2:y:2007:i:3/4:p:281-297
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=12908
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Mohamad-Ali Afsharkazemi & Jila Manouchehri & Mojtaba Salarifar & Amir Nasiripour, 2013. "Key factors affecting the hospital performance: a qualitative study using fuzzy logic," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3559-3573, October.

    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:ids:ijpubp:v:2:y:2007:i:3/4:p:281-297. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=97 .

    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.