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Intelligent Risk Detection for Healthcare
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Author(s): Fatemeh Hoda Moghimi (RMIT University, Australia)and Nilmini Wickramasinghe (Epworth HealthCare, Australia & RMIT University, Australia)
Copyright: 2014
Pages: 13
Source title:
Encyclopedia of Business Analytics and Optimization
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-4666-5202-6.ch118
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Abstract
Healthcare is an information rich industry where successful outcomes require the processing of multi-spectral data and sound decision making. The exponential growth of data coupled with a rapid increase of service demands in healthcare contexts today requires a robust framework enabled by IT (information technology) solutions as well as real-time service handling in order to ensure superior decision making and successful healthcare outcomes. Contemporaneous with the challenges facing healthcare, we are witnessing the development of very sophisticated intelligent tools and technologies. Therefore, it would appear to be prudent to investigate the possibility of applying such tools and technologies into various healthcare contexts to facilitate better risk detection and support superior decision making. The following serves to do this in the context of Orthopaedics and Congenital Heart Disease.
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