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DSS in Healthcare: Advances and Opportunities

In: Handbook on Decision Support Systems 2

Author

Listed:
  • Rajiv Kohli

    (College of William and Mary)

  • Frank Piontek

    (Trinity Health)

Abstract

Decision support systems (DSSs) in healthcare have generally targeted quality, risk mitigation, productivity, and profitability outcomes of hospitals. This chapter reviews advances made by DSSs in supporting these areas and opportunities that remain. We argue that the role of DSSs in improving learning for decision makers is crucial and present steps to facilitate this. Changes in the behavior of physicians and administrators will be critical to the success of DSSs. We cite information technologies available to improve healthcare decision making and frame research questions for future information systems researchers. Finally, we propose that the future of DSSs in healthcare will involve the development of capabilities to integrate various types of data, recognize patterns, and take proactive actions.

Suggested Citation

  • Rajiv Kohli & Frank Piontek, 2008. "DSS in Healthcare: Advances and Opportunities," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 2, chapter 59, pages 483-497, Springer.
    • Handle: RePEc:spr:ihichp:978-3-540-48716-6_23
    DOI: 10.1007/978-3-540-48716-6_23
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    Cited by:

    1. Mehmet Eren Ahsen & Mehmet Ulvi Saygi Ayvaci & Srinivasan Raghunathan, 2019. "When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis," Service Science, INFORMS, vol. 30(1), pages 97-116, March.
    2. Valentina Nino & David Claudio & Christie Schiel & Brendan Bellows, 2020. "Coupling Wearable Devices and Decision Theory in the United States Emergency Department Triage Process: A Narrative Review," IJERPH, MDPI, vol. 17(24), pages 1-23, December.

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