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Proceedings Paper

A web-based electronic patient record (ePR) system for data integration in movement analysis research on wheel-chair users to minimize shoulder pain
Author(s): Ruchi R. Deshpande; Philip Requejo; Erry Sutisna; Ximing Wang; Margaret Liu; Sarah McNitt-Gray; Puja Ruparel; Brent J. Liu
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Paper Abstract

Patients confined to manual wheel-chairs are at an added risk of shoulder injury. There is a need for developing optimal bio-mechanical techniques for wheel-chair propulsion through movement analysis. Data collected is diverse and in need of normalization and integration. Current databases are ad-hoc and do not provide flexibility, extensibility and ease of access. The need for an efficient means to retrieve specific trial data, display it and compare data from multiple trials is unmet through lack of data association and synchronicity. We propose the development of a robust web-based ePR system that will enhance workflow and facilitate efficient data management.

Paper Details

Date Published: 27 February 2012
PDF: 8 pages
Proc. SPIE 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 83190W (27 February 2012); doi: 10.1117/12.911074
Show Author Affiliations
Ruchi R. Deshpande, The Univ. of Southern California (United States)
Philip Requejo, Rancho Los Amigos National Rehabilitation Ctr. (United States)
Erry Sutisna, The Univ. of Southern California (United States)
Ximing Wang, The Univ. of Southern California (United States)
Margaret Liu, The Univ. of Southern California (United States)
Sarah McNitt-Gray, The Univ. of Southern California (United States)
Puja Ruparel, Rancho Los Amigos National Rehabilitation Ctr. (United States)
Brent J. Liu, The Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 8319:
Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn; Brent J. Liu, Editor(s)

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