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References (3)
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Ximing Wang, Sneha Verma, Yi Qin, J. Sterling, Alyssa Zhou, Jeffrey Zhang, Clarisa Martinez, Narissa Casebeer, Hyunwook Koh, C. Winstein, Brent Liu (2013)
Imaging informatics-based multimedia ePR system for data management and decision support in rehabilitation research, 8674
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Winstein (2012)
A Transformative Subfield in Rehabilitation Science at the Nexus of New Technologies, Aging, and Disability, Front Psychol, 3
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Brent Liu, C. Winstein, Ximing Wang, M. Konersman, Clarisa Martinez, N. Schweighofer (2012)
An imaging informatics-based ePR (electronic patient record) system for providing decision support in evaluating dose optimization in stroke rehabilitation, 8319
- Publisher
- SPIE
- Copyright
- COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
- ISSN
- 1605-7422
- DOI
- 10.1117/12.2044411
- Publisher site
- See Article on Publisher Site
Abstract
Clinical trials usually have a demand to collect, track and analyze multimedia data according to the workflow. Currently, the clinical trial data management requirements are normally addressed with custom-built systems. Challenges occur in the workflow design within different trials. The traditional pre-defined custom-built system is usually limited to a specific clinical trial and normally requires time-consuming and resource-intensive software development. To provide a solution, we present a user customizable imaging informatics-based intelligent workflow engine system for managing stroke rehabilitation clinical trials with intelligent workflow. The intelligent workflow engine provides flexibility in building and tailoring the workflow in various stages of clinical trials. By providing a solution to tailor and automate the workflow, the system will save time and reduce errors for clinical trials. Although our system is designed for clinical trials for rehabilitation, it may be extended to other imaging based clinical trials as well.
Journal
Proceedings of SPIE – SPIE
Published: Mar 19, 2014