DocumentCode
2199151
Title
Administrative Claim Data to Learn about Effective Healthcare Collaboration and Coordination through Social Network
Author
Uddin, Shahadat ; Khan, Arif ; Piraveenan, Mahendra
Author_Institution
Centre for Complex Syst. Res., Univ. of Sydney, Sydney, NSW, Australia
fYear
2015
fDate
5-8 Jan. 2015
Firstpage
3105
Lastpage
3114
Abstract
Previous studies have documented the application of administrative claim dataset for health services research purposes. In addition to administrative and billing details of healthcare services, insurance claim datasets can reveal important information regarding professional interactions or links that evolve among healthcare service providers through, for example, informal knowledge sharing. The aim of this study is to develop a research framework, which uses details of such professional interactions, to learn about effective healthcare coordination and collaboration. The proposed framework has been exercised to analyse Patient-centric Care Coordination Network and Physician Collaboration Network. The usefulness of this framework and its applications in exploring different collaborative efforts of healthcare service providers have been discussed in this paper.
Keywords
insurance; knowledge management; medical information systems; patient care; social networking (online); administrative claim data; billing details; effective healthcare collaboration; effective healthcare coordination; health services research purposes; healthcare service providers; healthcare services; informal knowledge sharing; insurance claim datasets; patient-centric care coordination network; physician collaboration network; professional interactions; social network; Biomedical imaging; Collaboration; Hospitals; Insurance; Social network services; Surgery; administrative claim data; healthcare collaboration; healthcare coordination; social network;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location
Kauai, HI
ISSN
1530-1605
Type
conf
DOI
10.1109/HICSS.2015.375
Filename
7070190
Link To Document