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PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks.
JCO Clin Cancer Inform 2019; 3:1-12JC

Abstract

PURPOSE

An online clinical information system, called Predictive Research Online System Prostate Cancer Tasks (PROSPeCT), was developed to enable users to query the Alberta Prostate Cancer Registry database hosted by the Alberta Prostate Cancer Research Initiative. To deliver high-quality patient treatment, prostate cancer clinicians and researchers require a user-friendly system that offers an easy and efficient way to obtain relevant and accurate information about patients from a robust and expanding database.

METHODS

PROSPeCT was designed and implemented to make it easy for users to query the prostate cancer patient database by creating, saving, and reusing simple and complex definitions. We describe its intuitive nature by exemplifying the creation and use of a complex definition to identify a "high-risk" patient cohort.

RESULTS

PROSPeCT was made to minimize user error and to maximize efficiency without requiring the user to have programming skills. Thus, it provides tools that allow both novice and expert users to easily identify patient cohorts, manage individual patient care, perform Kaplan Meier estimates, plot aggregate PSA views, compute PSA-doubling time, and visualize results.

CONCLUSION

This report provides an overview of PROSPeCT, a system that helps clinicians to identify appropriate patient treatments and researchers to develop prostate cancer hypotheses, with the overarching goal of improving the quality of life of patients with prostate cancer. We have made available the code for the PROSPeCT implementation at https://github.com/max-uhlich/e-PROSPeCT .

Authors+Show Affiliations

University of Alberta, Edmonton, Alberta, Canada.University of Alberta, Edmonton, Alberta, Canada.No affiliation info availableUniversity of Alberta, Edmonton, Alberta, Canada.University of Alberta, Edmonton, Alberta, Canada.University of Alberta, Edmonton, Alberta, Canada.University of Alberta, Edmonton, Alberta, Canada.University of Alberta, Edmonton, Alberta, Canada.University of Alberta, Edmonton, Alberta, Canada.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31116569

Citation

Cutumisu, Maria, et al. "PROSPeCT: a Predictive Research Online System for Prostate Cancer Tasks." JCO Clinical Cancer Informatics, vol. 3, 2019, pp. 1-12.
Cutumisu M, Vasquez C, Uhlich M, et al. PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks. JCO Clin Cancer Inform. 2019;3:1-12.
Cutumisu, M., Vasquez, C., Uhlich, M., Beatty, P. H., Hamayeli-Mehrabani, H., Djebah, R., ... Lewis, J. D. (2019). PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks. JCO Clinical Cancer Informatics, 3, pp. 1-12. doi:10.1200/CCI.18.00144.
Cutumisu M, et al. PROSPeCT: a Predictive Research Online System for Prostate Cancer Tasks. JCO Clin Cancer Inform. 2019;3:1-12. PubMed PMID: 31116569.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks. AU - Cutumisu,Maria, AU - Vasquez,Catalina, AU - Uhlich,Maxwell, AU - Beatty,Perrin H, AU - Hamayeli-Mehrabani,Homeira, AU - Djebah,Rume, AU - Murtha,Albert, AU - Greiner,Russell, AU - Lewis,John D, PY - 2019/5/23/entrez PY - 2019/5/23/pubmed PY - 2019/5/23/medline SP - 1 EP - 12 JF - JCO clinical cancer informatics JO - JCO Clin Cancer Inform VL - 3 N2 - PURPOSE: An online clinical information system, called Predictive Research Online System Prostate Cancer Tasks (PROSPeCT), was developed to enable users to query the Alberta Prostate Cancer Registry database hosted by the Alberta Prostate Cancer Research Initiative. To deliver high-quality patient treatment, prostate cancer clinicians and researchers require a user-friendly system that offers an easy and efficient way to obtain relevant and accurate information about patients from a robust and expanding database. METHODS: PROSPeCT was designed and implemented to make it easy for users to query the prostate cancer patient database by creating, saving, and reusing simple and complex definitions. We describe its intuitive nature by exemplifying the creation and use of a complex definition to identify a "high-risk" patient cohort. RESULTS: PROSPeCT was made to minimize user error and to maximize efficiency without requiring the user to have programming skills. Thus, it provides tools that allow both novice and expert users to easily identify patient cohorts, manage individual patient care, perform Kaplan Meier estimates, plot aggregate PSA views, compute PSA-doubling time, and visualize results. CONCLUSION: This report provides an overview of PROSPeCT, a system that helps clinicians to identify appropriate patient treatments and researchers to develop prostate cancer hypotheses, with the overarching goal of improving the quality of life of patients with prostate cancer. We have made available the code for the PROSPeCT implementation at https://github.com/max-uhlich/e-PROSPeCT . SN - 2473-4276 UR - https://www.unboundmedicine.com/medline/citation/31116569/PROSPeCT:_A_Predictive_Research_Online_System_for_Prostate_Cancer_Tasks L2 - http://ascopubs.org/doi/full/10.1200/CCI.18.00144?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -