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Decision Support Systems in Healthcare: Emerging Trends and Success Factors

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Applied Decision Support with Soft Computing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 124))

Abstract

Emerging over 50 years ago, decision support systems have a long history in the healthcare setting. Health decision support systems incorporate a variety of soft computing techniques to derive useful information from data repositories, human knowledge, and on-line literature to support decision making across operational and clinical processes in healthcare organizations. This article summarizes the historical and state of the art decision support systems in healthcare, analyzes the success factors needed for widespread deployment, and postulates the future trends of the field in the context of a new decision management paradigm.

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Authors and Affiliations

  1. Department of Computer Science School of Computing, National University of Singapore, 3 Science Drive 2, Singapore, 117543

    Tze-Yun Leong

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  1. Tze-Yun Leong
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Editors and Affiliations

  1. Faculty of Engineering, Royal Melbourne Institute of Technology, GPO Box 2476V, 3001, Melbourne, VIC, Australia

    Xinghuo Yu

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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Leong, TY. (2003). Decision Support Systems in Healthcare: Emerging Trends and Success Factors. In: Yu, X., Kacprzyk, J. (eds) Applied Decision Support with Soft Computing. Studies in Fuzziness and Soft Computing, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37008-6_6

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  • DOI: https://doi.org/10.1007/978-3-540-37008-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53534-5

  • Online ISBN: 978-3-540-37008-6

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