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Title: Exploring the possibilities for intelligent risk detection in healthcare contexts.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Moghimi, Hoda
Schaffer, Jonathan
Keywords: Clinical Decision Making
Risk Detection
Congenital Heart Disease
Clinical Medicine
Orthopedic Procedures
Heart Diseases
Knowledge Management
Business Analytics (BA)
Total Hip and Knee Arthroplasty
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: Jun-2015
Publisher: Inderscience
Citation: Moghimi et al. / Intelligent Risk Detection in Healthcare, e-health Workshop Paper, Twenty Second European Conference on Information Systems, Tel Aviv 2014 / IJNVO, in press, 2015.
Abstract: The exponential growth of data coupled with a rapid increase of service demands in healthcare con-texts 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 develop-ment of very sophisticated intelligent tools and technologies. Therefore, it would appear to be pru-dent to investigate the possibility of applying such tools and technologies into various healthcare contexts to facilitate better risk detection and support superior decision making. rnThis study is exploratory in nature and endeavours to explore the main components, barriers, issues and requirements to design and develop an Intelligent Risk Detection framework to be applied to healthcare contexts. The following serves to do this in the context of Orthopaedics, Total Hip and Knee Arthroplasty and Congenital Heart Disease.
Description: Not in PubMed. Article in press, and conference workshop paper. The attached PDF of the article is from the conference in 2014.
ISSN: 1741-5225
Journal Title: International Journal of Networking and Virtual Organisations (IJNVO)
Type: Conference Paper
Affiliated Organisations: RMIT University, Melbourne, Victoria, Australia
Cleveland Clinic, Cleveland, USA
Type of Clinical Study or Trial: Survey
Appears in Collections:Health Informatics

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