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An Intelligence e-Risk Detection Model to Improve Decision Efficiency in the Context of the Orthopaedic Operating Room

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Critical Issues for the Development of Sustainable E-health Solutions

Part of the book series: Healthcare Delivery in the Information Age ((Healthcare Delivery Inform. Age))

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Abstract

Decision making in healthcare is unstructured, complex and critical. Today, given the healthcare professionals are continually under immense time pressure to make appropriate treatment decisions. Moreover, in order to make such decisions it is necessary for them to process large amounts of disparate data and information. We contend that such a context is appropriate for the application of real time intelligent risk detection decision support system. To illustrate the benefits of risk detection to improve decision efficacy in healthcare contexts we focus on the case of the orthopaedic operating room for hip and knee replacements. In the orthopaedic operating room complex high risk decisions must be made which have for reaching implications on the success of the surgery and ongoing quality of life of the patient.

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Notes

  1. 1.

    A commercial software for data mining.

  2. 2.

    An open source software for data mining.

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Authors and Affiliations

  1. School of Business IT and Logistics, RMIT University, Melbourne, VIC, Australia

    Fatemeh Hoda Mogihim, Hossein Zadeh & Nilmini Wickramasinghe

Authors
  1. Fatemeh Hoda Mogihim
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  2. Hossein Zadeh
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  3. Nilmini Wickramasinghe
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Correspondence to Nilmini Wickramasinghe .

Editor information

Editors and Affiliations

  1. RMIT University, School of Business Information Technolog, Melbourne VIC, Australia

    Nilmini Wickramasinghe

  2. Coventry University, Health Design and Technology Institute (, COVENTRY West Midlands, United Kingdom

    Rajeev Bali

  3. Dept. Management, Turku School of Economics & Business Administration, Turku, Finland

    Reima Suomi

  4. Lehrst. Wirtschaftsinformatik II (510 O), Universität Hohenheim Fak. Wirtschafts-/Sozialwissenschaften, Stuttgart, Germany

    Stefan Kirn

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Mogihim, F.H., Zadeh, H., Wickramasinghe, N. (2012). An Intelligence e-Risk Detection Model to Improve Decision Efficiency in the Context of the Orthopaedic Operating Room. In: Wickramasinghe, N., Bali, R., Suomi, R., Kirn, S. (eds) Critical Issues for the Development of Sustainable E-health Solutions. Healthcare Delivery in the Information Age. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1536-7_2

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  • DOI: https://doi.org/10.1007/978-1-4614-1536-7_2

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4614-1535-0

  • Online ISBN: 978-1-4614-1536-7

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