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http://hdl.handle.net/11434/435
Title: | Incorporating intelligent risk detection to enable superior decision support: the example of orthopaedic surgeries. |
Epworth Authors: | Wickramasinghe, Nilmini |
Other Authors: | Moghimi, Hoda Zadeh, Hossein Schaffer, Jonathan |
Keywords: | Orthopaedic Surgeries Intelligent Risk Detection Surgery Surgery Risk Levels Knowledge Discovery Surgical Decisions Hip Surgeries Knee Surgeries Orthopaedics Knowledge Discovery Data Mining Decision Support Systems Chair of Healthcare Information, Epworth HealthCare, Melbourne, Victoria, Australia |
Issue Date: | Jan-2012 |
Publisher: | Springer |
Citation: | Health and Technology, vol. 2, no. 1, pp. 33-41. |
Abstract: | Decision making in healthcare is unstructured, complex and critical. Today, healthcare professionals are continually under immense time pressure to make appropriate treatment decisions which in turn have far reaching implications on the quality of outcomes. 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. In this application data mining tools in combination with Knowledge Discovery (KD) techniques are used to score the surgery risk levels, assess surgery risks and help medical professionals to make appropriate and superior complex surgical decisions for each patient. To illustrate the benefits of such intelligent risk detection to improve decision efficacy in healthcare contexts we focus within the context of Orthopaedic Surgeries, specifically on hip and knee surgeries. This paper concludes with a conceptual model to move successfully from idea to design and then implementation. |
URI: | http://hdl.handle.net/11434/435 |
DOI: | doi.org/10.1007/s12553-011-0014-z |
ISSN: | 2190-7188 2190-7196 |
Journal Title: | Health and Technology |
Type: | Journal Article |
Type of Clinical Study or Trial: | Review |
Appears in Collections: | Health Informatics Musculoskeletal |
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