Background: Failure to document colonoscopy follow-up needs post-polypectomy can lead to delayed detection of colorectal cancer (CRC). Automating the update of a unified follow-up date in the electronic health record (EHR) may increase the number of patients with guideline concordant CRC follow-up screening. Methods: Prospective pre-post design study of an automated rules-engine-based tool using colonoscopy pathology results to automate updates to documented CRC screening due dates was performed as an operational initiative, deployed enterprise-wide May 2023. Participants were aged 45-75 who received a colonoscopy November 2022 to November 2023. Primary outcome measure is rate of updates to screening due dates and proportion with recommended follow-up <10-years. Multivariable log-binomial regression was performed [relative risk (RR), 95% confidence intervals (95% CIs)]. Results: Study population included 9,824 standard care and 19,340 intervention participants. Participants had a mean age of 58.6±8.6 years and included 53.4% females, 69.6% non-Hispanic White, 13.5% non-Hispanic Black, 6.5% Asian, and 4.6% Hispanic. Post-intervention, 46.7% of follow-up recommendations were updated by the rules engine. The proportion of patients with a 10-year default follow-up frequency significantly decreased (88.7% to 42.8%, p<0.001). The mean follow-up frequency decreased by 1.9 years (9.3 to 7.4 years, p<0.001). Overall likelihood of an updated follow-up date significantly increased (RR 5.62, 95%CI: 5.30 – 5.95, p<0.001). Conclusion: An automated rules-engine-based tool has the potential to increase accuracy of colonoscopy follow-up dates recorded in patient EHR. The results emphasize the opportunity for more automated and integrated solutions for updating and maintaining EHR health maintenance activities.
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