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Design of an Intelligent Patient Decision aid Based on Individual Decision-Making Styles and Information Need Preferences

Author

Listed:
  • Sergey Motorny

    (College of Business and Information Systems, Dakota State University)

  • Surendra Sarnikar

    (California State University East Bay)

  • Cherie Noteboom

    (Dakota State University)

Abstract

An emerging trend in healthcare delivery is that of patient-centered medicine which includes empowering patients through shared decision-making in their medical care. The use of information technology is a key enabler for empowering patients and supporting patient-centered care. The patient decision aid is one tool for getting patients more involved in their care. However, existing patient decision aids make generalized assumptions about their users and fail to accommodate the variability of individual information needs and decision-making preferences known in the literature. In this paper, we investigate patient attributes that influence patient decision-making preferences and present a framework for the design of individualized patient decision aids. The proposed framework is instantiated in the context of end stage renal disease and was tested to evaluate its effectiveness.

Suggested Citation

  • Sergey Motorny & Surendra Sarnikar & Cherie Noteboom, 2022. "Design of an Intelligent Patient Decision aid Based on Individual Decision-Making Styles and Information Need Preferences," Information Systems Frontiers, Springer, vol. 24(4), pages 1249-1264, August.
    • Handle: RePEc:spr:infosf:v:24:y:2022:i:4:d:10.1007_s10796-021-10125-9
    DOI: 10.1007/s10796-021-10125-9
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