IDEAS home Printed from https://ideas.repec.org/a/igg/jthi00/v1y2005i4p58-75.html
   My bibliography  Save this article

USE IT to Create Patient-Relation Management for Multiple Sclerosis Patients

Author

Listed:
  • Margreet B. Michel-Verkerke

    (University of Twente, The Netherlands)

  • Roel W. Schuring

    (University of Twente, The Netherlands)

  • Ton A.M. Spil

    (University of Twente, The Netherlands)

Abstract

Patients with multiple sclerosis (MS) visit various healthcare providers during the course of their disease. It was suggested that information and communication technology might help to orchestrate their care provision. We have applied the USE IT tool to get insight in the relevant problems, solutions, and constraints of MS care both in the organizational and the information-technological area. There is hardly a chain of healthcare, but rather, a network in which informal communication plays an important role. This informal network worked reasonably effective, but it was inefficient and slow. The MS patient count is small for most care providers. Patients thought that a lack of experience caused their major problems: insufficient and inadequate care. To improve care, we proposed a solution that combines an MS protocol, the introduction of a central coordinator of care and a patient-relation management (PRM) system. This is a simple Web-based application based on an agreement by the caregivers that supports routing, tracking, and tracing for an MS patient and supplies the caregivers with professional guidelines. It is likely that we would have suggested a far more complicated ICT solution if we had only analyzed the MS care process as such without specific consideration of the dimensions in the USE IT tool.

Suggested Citation

  • Margreet B. Michel-Verkerke & Roel W. Schuring & Ton A.M. Spil, 2005. "USE IT to Create Patient-Relation Management for Multiple Sclerosis Patients," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 1(4), pages 58-75, October.
  • Handle: RePEc:igg:jthi00:v:1:y:2005:i:4:p:58-75
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jthi.2005100104
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Khalid Majrashi, 2022. "A Model for Predicting User Intention to Use Voice Recognition Technologies at the Workplace in Saudi Arabia," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 18(1), pages 1-18, January.

    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:igg:jthi00:v:1:y:2005:i:4:p:58-75. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.