A web-based electronic patient record (ePR) system for data integration in movement analysis research on wheel-chair users to minimize shoulder pain

Ruchi R. Deshpande; Philip Requejo; Erry Sutisna; Ximing Wang; Margaret Liu; Sarah McNitt-Gray; Puja Ruparel; Brent J. Liu

doi:10.1117/12.911074

27 February 2012 A web-based electronic patient record (ePR) system for data integration in movement analysis research on wheel-chair users to minimize shoulder pain

Ruchi R. Deshpande, Philip Requejo, Erry Sutisna, Ximing Wang, Margaret Liu, Sarah McNitt-Gray, Puja Ruparel, Brent J. Liu

Author Affiliations +

Proceedings Volume 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 83190W (2012) https://doi.org/10.1117/12.911074
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

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.

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Ruchi R. Deshpande, Philip Requejo, Erry Sutisna, Ximing Wang, Margaret Liu, Sarah McNitt-Gray, Puja Ruparel, and Brent J. Liu "A web-based electronic patient record (ePR) system for data integration in movement analysis research on wheel-chair users to minimize shoulder pain", Proc. SPIE 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 83190W (27 February 2012); https://doi.org/10.1117/12.911074

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