PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks
- Maria Cutumisu
- Catalina Vasquez
- Max Uhlich
- Perrin H Beatty
- Homeira Hamayeli Mehrabani
- Russ Greiner, Dept of Computing Science; PI of AICML
- Rume Djebah
- Albert Murtha, Cross Cancer Institute, Edmonton
- John D. Lewis
Purpose Prostate cancer clinicians and researchers would greatly benefit from a web application that would allow them to easily and efficiently obtain relevant patient information from a robust and expanding database. We therefore developed an online Clinical Information System (CIS) called Predictive Research Online System Prostate Cancer Tasks (PROSPeCT) that enables users to query the Alberta Prostate Cancer Registry database hosted by the Alberta Prostate Cancer Research Initiative (APCaRI).
Methods PROSPeCT was designed to make it easy for users to create, save, and reuse simple and complex definitions to query the prostate cancer patient database. We describe its intuitive nature by showing how to create and then use a complex definition: here, to identify the “high-risk” patient cohort.
Results PROSPeCT provides tools that allow users to easily identify patient cohorts, manage individual patient care, perform Kaplan Meier estimates (KME), plot aggregate PSA views, compute PSA-doubling time (PSADT), and visualize results.
Conclusion To deliver high-quality patient treatment, clinicians require a user-friendly system that offers an efficient way of to obtain accurate information about patients. PROSPeCT minimizes user error and maximizes efficiency without requiring the user to have programming skills. Using PROSPeCT helps clinicians to identify appropriate patient treatments and researchers to develop prostate cancer hypotheses, ultimately improving the quality of life of prostate cancer patients.
Citation
M. Cutumisu, C. Vasquez, M. Uhlich, P. Beatty, H. Mehrabani, R. Greiner, R. Djebah, A. Murtha, J. Lewis. "PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks". Journal of Clinical Oncology: Clinical Cancer Informatics, (3), pp 1-12, May 2019.| Keywords: | prostate cancer, support tool, PROSPeCT |
| Category: | In Journal |
| Web Links: | Journal |
BibTeX
@article{Cutumisu+al:JCO:CCI19,
author = {Maria Cutumisu and Catalina Vasquez and Max Uhlich and Perrin H
Beatty and Homeira Hamayeli Mehrabani and Russ Greiner and Rume Djebah and
Albert Murtha and John D. Lewis},
title = {PROSPeCT: A Predictive Research Online System for Prostate Cancer
Tasks},
Number = "3",
Pages = {1-12},
journal = {Journal of Clinical Oncology: Clinical Cancer Informatics},
year = 2019,
}Last Updated: February 06, 2020Submitted by Sabina P
