Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1326
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
Orthopaedics
Knowledge Management
Business Intelligence
Business Analytics
Congenital Heart Disease
CHD
Total Hip & Knee Arthroplasty
Risk Assessment
Healthcare Technology
E-Healthcare
Electronic Healthcare
Intelligent Systems
Decision Support Systems
DSS
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: May-2016
Publisher: Inderscience Publishers
Citation: Int. J. of Networking and Virtual Organisations, May 2016; 16(2): 171-190
Abstract: The exponential growth of data coupled with a rapid increase of service demands in healthcare contexts today requires a robust framework enabled by information technology (IT) 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. This 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.
URI: http://hdl.handle.net/11434/1326
DOI: 10.1504/IJNVO.2016.076490
ISSN: 1470-9503
1741-5225
Journal Title: International Journal of Networking and Virtual Organisations
Type: Journal Article
Affiliated Organisations: Epworth HealthCare & Deakin University, Office of the PVC, Bldg BC Level 4, 221 Burwood Highway, Burwood VIC 3125, Australia
Type of Clinical Study or Trial: Exploratory Qualitative Design
Appears in Collections:Health Informatics

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