Application of network analysis on healthcare

Fei Wang, Uma Srinivasan, Shahadat Uddin, Sanjay Chawla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages596-603
Number of pages8
ISBN (Print)9781479958771
DOIs
Publication statusPublished - 10 Oct 2014
Externally publishedYes
Event2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 - Beijing
Duration: 17 Aug 201420 Aug 2014

Other

Other2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014
CityBeijing
Period17/8/1420/8/14

Fingerprint

Electric network analysis
Health care
Topology
Health insurance
Costs
Data mining

Keywords

  • Health care
  • Social network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Wang, F., Srinivasan, U., Uddin, S., & Chawla, S. (2014). Application of network analysis on healthcare. In ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 596-603). [6921647] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM.2014.6921647

Application of network analysis on healthcare. / Wang, Fei; Srinivasan, Uma; Uddin, Shahadat; Chawla, Sanjay.

ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Institute of Electrical and Electronics Engineers Inc., 2014. p. 596-603 6921647.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, F, Srinivasan, U, Uddin, S & Chawla, S 2014, Application of network analysis on healthcare. in ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining., 6921647, Institute of Electrical and Electronics Engineers Inc., pp. 596-603, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, 17/8/14. https://doi.org/10.1109/ASONAM.2014.6921647
Wang F, Srinivasan U, Uddin S, Chawla S. Application of network analysis on healthcare. In ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Institute of Electrical and Electronics Engineers Inc. 2014. p. 596-603. 6921647 https://doi.org/10.1109/ASONAM.2014.6921647
Wang, Fei ; Srinivasan, Uma ; Uddin, Shahadat ; Chawla, Sanjay. / Application of network analysis on healthcare. ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 596-603
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