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Updated: Jul 20, 2025
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
Published on: January 22, 2011
Development of a novel workflow method to characterize and validate clinical data quality acquired through the
Troy A Cabral1, Owen Davidson2, James Rudd2,3
1Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Objective:
To generate and apply a novel workflow method to assess the quality of data from the Veterinary Committee on Trauma (VetCOT) registry.
Animals:
Canine and feline trauma patient data entered by identified and verified Veterinary Trauma Centers into the VetCOT registry between April 2017-December 2018 were retrieved for analysis.
Methods:
Analysis software (RVetQual) was created in the R programming language to compare 5,000 cases exported from the VetCOT registry with samples of original corresponding records from 6 veterinary trauma centers. In addition, an evaluation of the consistency and completeness of the trauma registry was conducted.
Results:
The utilization of this analysis tool allowed an assessment of the VetCOT trauma registry. Some of the variables effecting the accuracy, consistency, and completeness of the VetCOT trauma registry were canine and feline age, weight, trauma time entered, and mismatches in blood glucose. However, the completeness of the database was minimally affected.
Clinical Relevance:
RVetQual is an efficient, accessible, and adjustable tool that facilitates the assessment of the data quality of the VetCOT registry. Such an assessment can lead to improvement of the quality of information serving to guide further trauma patient care.
