Visualising a state-wide patient data collection: A case study to expand the audience for healthcare data

Luo, Wei, Gallagher, Marcus, O'Kane, Di, Connor, Jason, Dooris, Mark, Roberts, Col, Mortimer, Lachlan and Wiles, Janet (2010). Visualising a state-wide patient data collection: A case study to expand the audience for healthcare data. In: Anthony Maeder, David Hansen, Vladimir Estivill-Castro and Simeon J. Simoff, Conferences in Research and Practice in Information Technology. Health Informatics and Knowledge Management 2010: Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management (HIKM 2010). HIKM 2010: 4th Australasian Workshop on Health Informatics and Knowledge Management, Brisbane, Australia, (45-52). 18-21 January 2010.

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Author Luo, Wei
Gallagher, Marcus
O'Kane, Di
Connor, Jason
Dooris, Mark
Roberts, Col
Mortimer, Lachlan
Wiles, Janet
Title of paper Visualising a state-wide patient data collection: A case study to expand the audience for healthcare data
Conference name HIKM 2010: 4th Australasian Workshop on Health Informatics and Knowledge Management
Conference location Brisbane, Australia
Conference dates 18-21 January 2010
Convener CSIRO
Proceedings title Conferences in Research and Practice in Information Technology. Health Informatics and Knowledge Management 2010: Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management (HIKM 2010)   Check publisher's open access policy
Place of Publication Sydney, Australia
Publisher Australian Computer Society
Publication Year 2010
Sub-type Fully published paper
ISBN 9781920682897
1920682899
ISSN 1445-1336
0157-3055
Editor Anthony Maeder
David Hansen
Vladimir Estivill-Castro
Simeon J. Simoff
Volume 108
Start page 45
End page 52
Total pages 8
Collection year 2011
Language eng
Abstract/Summary This paper describes the application of existing and novel adaptations of visualisation techniques to routinely collected health data. The aim of this case study is to examine the capacity for visualisation approaches to quickly and effectively inform clinical, policy, and fiscal decision making to improve health- care provision. We demonstrate the use of interactive graphics, fluctuation plots, mosaic plots, time plots, heatmaps, and disease maps to visualise patient admission, transfer, in-hospital mortality, morbidity coding, execution of diagnosis and treatment guidelines, and the temporal and spatial variations of diseases. The relative effectiveness of these techniques and associated challenges are discussed. Copyright 2010, Australian Computer Society, Inc.
Subjects 0806 Information Systems
0906 Electrical and Electronic Engineering
Keyword Exploratory data analysis
Routine data collection
Visualisation
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Conference held as part of Part of ACSW 2010 (Australasian Computer Science Week). Presented during "Session 3: Data mining and knowledge discovery". This publication issue dual-indexed as "Australian Computer Science Communications 32(7)."

 
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Created: Tue, 09 Nov 2010, 10:21:21 EST by Ms May Balasaize on behalf of School of Information Technol and Elec Engineering