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04/13/26

Using large language models to determine reasons for missed colon cancer screening follow-up.

Williams, Christopher Y K; Sarkar, Urmimala; Adler-Milstein, Julia; Rotenstein, Lisa. Jt Comm J Qual Patient Saf.

Collection Topics
AI and Diagnosis Big Three Conditions Equity, Access, and Timeliness Measurement, Monitoring, and Event Analysis Tests, Screening, and Laboratory Processes
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Summary

Identifying reasons for missed follow-up is key to improving diagnostic quality and patient safety. This cross-sectional proof of concept study of patients with a documented positive colon cancer stool screening test suggests LLMs can detect whether reasons for missing colonoscopy after abnormal noninvasive screening are documented in clinical notes and identified reasons for not obtaining colonoscopy in 20% of cases; this suggests AI can support guide diagnostic result follow-up improvement efforts.

Read the paper
Williams CYK, Sarkar U, Adler-Milstein J, et al. Using large language models to determine reasons for missed colon cancer screening follow-up. Jt Comm J Qual Patient Saf. 2026;52(8):392-399.