Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/467
Title: Exploring the possibilities for intelligent risk detection in healthcare contexts.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Moghimi, Hoda
Schaffer, Jonathan
Keywords: Chair of Healthcare Information, Epworth HealthCare, Melbourne, Victoria, Australia
Clinical Decision Making
Risk Detection
Orthopaedics
Congenital Heart Disease
Clinical Medicine
Orthopedics
Orthopedic Procedures
Heart Diseases
Cardiology
Knowledge Management
Business Analytics (BA)
Total Hip and Knee Arthroplasty
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.
URI: http://hdl.handle.net/11434/467
URL: http://web2.ono.ac.il/OfirDB/PROGRAM%20FOR%20PRE-ECIS%20e-HEALTH%20WORKSHOP/3%20Nilmini%20paper-for%20ECIS-panel-e-risk.pdf
ISSN: 1741-5225
Journal Title: International Journal of Networking and Virtual Organisations (IJNVO)
Type: Journal Article
Affiliated Organisations: RMIT University, Melbourne, Victoria, Australia
Cleveland Clinic, Cleveland, USA
Type of Clinical Study or Trial: Survey
Appears in Collections:Health Informatics

Files in This Item:
File Description SizeFormat 
Exploringthe.pdfMain article339.36 kBAdobe PDFView/Open


Items in EKB are protected by copyright, with all rights reserved, unless otherwise indicated.