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. 2018 Oct;1(2):166-171.
doi: 10.1093/jamiaopen/ooy023. Epub 2018 Jul 10.

A Curated Cancer Clinical Outcomes Database (C3OD) for accelerating patient recruitment in cancer clinical trials

Dinesh Pal Mudaranthakam  1   2 , Jeffrey Thompson  1   2 , Jinxiang Hu  1   2 , Dong Pei  1 , Shanthan Reddy Chintala  1 , Michele Park  2 , Brooke L Fridley  3 , Byron Gajewski  1   2 , Devin C Koestler  1   2 , Matthew S Mayo  1   2
Affiliations

A Curated Cancer Clinical Outcomes Database (C3OD) for accelerating patient recruitment in cancer clinical trials

Dinesh Pal Mudaranthakam et al. JAMIA Open. 2018 Oct.

Abstract

Data used to determine patient eligibility for cancer clinical trials often come from disparate sources that are typically maintained by different groups within an institution, use differing technologies, and are stored in different formats. Collecting data and resolving inconsistencies across sources increase the time it takes to screen eligible patients, potentially delaying study completion. To address these challenges, the Biostatistics and Informatics Shared Resource at The University of Kansas Cancer Center developed the Curated Cancer Clinical Outcomes Database (C3OD). C3OD merges data from the electronic medical record, tumor registry, bio-specimen and data registry, and allows querying through a single unified platform. By centralizing access and maintaining appropriate controls, C3OD allows researchers to more rapidly obtain detailed information about each patient in order to accelerate eligibility screening. This case report describes the design of this informatics platform as well as initial assessments of its reliability and usability.

Keywords: automated eligibility screening; clinical research informatics; patient recruitment.

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Figures

Figure 1.
Figure 1.
(A) C3OD architecture. The C3OD database consists of two separate databases. The identified database that contains raw data from nurse abstraction, data from electronic medical record, and research-based collected variables. The de-Identified database contains data that has been cleaned by algorithm. The application server houses the webserver where the GUI is hosted. Using this GUI, investigators can query for potential participants. (B) Variable types from different data sources that feed into C3OD.
Figure 2.
Figure 2.
C3OD-derived cohort sizes based on sequential queries of the inclusion/exclusion criteria for study NCT00491816.
Figure 3.
Figure 3.
Results of the C3OD usability survey. Responses are based on the n = 4 research co-ordinators that responded to the C3OD usability survey.
See this image and copyright information in PMC

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