Share Email Print
cover

Proceedings Paper

Imaging informatics-based multimedia ePR system for data management and decision support in rehabilitation research
Author(s): Ximing Wang; Sneha Verma; Yi Qin; Josh Sterling; Alyssa Zhou; Jeffrey Zhang; Clarisa Martinez; Narissa Casebeer; Hyunwook Koh; Carolee Winstein; Brent Liu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

With the rapid development of science and technology, large-scale rehabilitation centers and clinical rehabilitation trials usually involve significant volumes of multimedia data. Due to the global aging crisis, millions of new patients with age-related chronic diseases will produce huge amounts of data and contribute to soaring costs of medical care. Hence, a solution for effective data management and decision support will significantly reduce the expenditure and finally improve the patient life quality. Inspired from the concept of the electronic patient record (ePR), we developed a prototype system for the field of rehabilitation engineering. The system is subject or patient-oriented and customized for specific projects. The system components include data entry modules, multimedia data presentation and data retrieval. To process the multimedia data, the system includes a DICOM viewer with annotation tools and video/audio player. The system also serves as a platform for integrating decision-support tools and data mining tools. Based on the prototype system design, we developed two specific applications: 1) DOSE (a phase 1 randomized clinical trial to determine the optimal dose of therapy for rehabilitation of the arm and hand after stroke.); and 2) NEXUS project from the Rehabilitation Engineering Research Center(RERC, a NIDRR funded Rehabilitation Engineering Research Center). Currently, the system is being evaluated in the context of the DOSE trial with a projected enrollment of 60 participants over 5 years, and will be evaluated by the NEXUS project with 30 subjects. By applying the ePR concept, we developed a system in order to improve the current research workflow, reduce the cost of managing data, and provide a platform for the rapid development of future decision-support tools.

Paper Details

Date Published: 29 March 2013
PDF: 11 pages
Proc. SPIE 8674, Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 86740P (29 March 2013); doi: 10.1117/12.2008585
Show Author Affiliations
Ximing Wang, The Univ. of Southern California (United States)
Sneha Verma, The Univ. of Southern California (United States)
Yi Qin, The Univ. of Southern California (United States)
Josh Sterling, The Univ. of Southern California (United States)
Alyssa Zhou, The Univ. of Southern California (United States)
Jeffrey Zhang, The Univ. of Southern California (United States)
Clarisa Martinez, The Univ. of Southern California (United States)
Narissa Casebeer, The Univ. of Southern California (United States)
Hyunwook Koh, The Univ. of Southern California (United States)
Carolee Winstein, The Univ. of Southern California (United States)
Brent Liu, The Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 8674:
Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Maria Y. Law; William W. Boonn, Editor(s)

© SPIE. Terms of Use
Back to Top