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Title: Leverage health care data assets with predictive analytics: The example of an Australian private hospital. Improving Health Management through Clinical Decision Support Systems
Epworth Authors: Wickramasinghe, Nilmini
Editors: Moon, J.
Galea, Mary
Other Authors: Moghimi, H.
Schaffer, Jonathan
Keywords: Multi-spectral Data
Health Information Technology
Data Analysis
Hospital Casemix Protocol
Data Warehousing
Technology Solutions
Information Technology
Predictive Analytics
Private Hospitals
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2016
Publisher: IGI Global
Abstract: Multi-spectral data residing in disparate data bases represents a critical raw asset for today's healthcare organizations (). However, in order to gain maximum value from such data, it is essential to apply prudent technology solutions and tailored analytic techniques. The following chapter proposes how the application of bespoke predictive analytic tools and techniques can be designed and then applied to a hospital data warehouse, called the Hospital Casemix Protocol (HCP) Extended data set, in order to improve decision efficiency in the private healthcare sector in Australia. The main objective of this chapter is to present the developed conceptual model to demonstrate inputs, outputs, components, principles and services of predictive analytics for private hospitals.
DOI: 10.4018/978-1-4666-9432-3.ch011
ISBN: 9781466694323
Type: Chapter
Affiliated Organisations: Health Informatics
RMIT University, Melbourne, Victoria, Australia
Cleveland Clinic, Cleveland, Ohio, United States
Appears in Collections:Health Informatics

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