Development of a user customizable imaging informatics-based intelligent workflow engine system to enhance rehabilitation clinical trials

Ximing Wang; Clarisa Martinez; Jing Wang; Ye Liu; Brent Liu

doi:10.1117/12.2044411

19 March 2014 Development of a user customizable imaging informatics-based intelligent workflow engine system to enhance rehabilitation clinical trials

Ximing Wang, Clarisa Martinez, Jing Wang, Ye Liu, Brent Liu

Author Affiliations +

Proceedings Volume 9039, Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations; 90390G (2014) https://doi.org/10.1117/12.2044411
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

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.

Citation Download Citation

Ximing Wang, Clarisa Martinez, Jing Wang, Ye Liu, and Brent Liu "Development of a user customizable imaging informatics-based intelligent workflow engine system to enhance rehabilitation clinical trials", Proc. SPIE 9039, Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations, 90390G (19 March 2014); https://doi.org/10.1117/12.2044411

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