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2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2014)
China
Aug. 17, 2014 to Aug. 20, 2014
ISBN: 978-1-4799-5877-1
pp: 596-603
Fei Wang , School of IT, University of Sydney, Australia
Uma Srinivasan , Capital Markets Cooperative Research Centre, Sydney, Australia
Shahadat Uddin , Complex Systems Research Centre, University of Sydney, Australia
Sanjay Chawla , School of IT, University of Sydney, Australia
ABSTRACT
The healthcare sector holds large amounts of semantically rich electronic data generated and used by different sections of the health care community. Data analytic techniques such as data mining and predictive modelling are being used to gain new insights into health care costs, performance and quality of care. In this context, social network analysis (SNA) has the unique ability to play a new role in exploring the context and situations that lead to efficient and effective healthcare. In this paper we describe a specific context of private healthcare in Australia and describe our SNA based approach (applied to health insurance claims) to understand the nature of collaboration among doctors treating hospital inpatients and explore the impact of collaboration on cost and quality of care. In particular, we use network analysis to (a) design collaboration models among surgeons, anaesthetists and assistants who work together while treating patients admitted for specific types of treatments (b) identify and extract specific types of network topologies that indicate the way doctors collaborate while treating patients and (c) analyse the impact of these topologies on cost and quality of care provided to those patients.
INDEX TERMS
Surgery, Collaboration, Hospitals, Social network services, Context, Analytical models
CITATION
Fei Wang, Uma Srinivasan, Shahadat Uddin, Sanjay Chawla, "Application of network analysis on healthcare", 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), vol. 00, no. , pp. 596-603, 2014, doi:10.1109/ASONAM.2014.6921647
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