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02/18/26

Closing the loop: a custom artificial intelligence agent to improve detection of radiologist follow-up recommendations.

Treacher, Alex; Moran, Brett; Case, Molly; Oliver, George; Miff, Steve; Adejumobi, Olayide; Karam, Albert. NEJM Catal Innov Care Deliv.

Collection Topics
Health IT Culture, Work System, and Implementation Tests, Screening, and Laboratory Processes
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Summary

Inadequate follow-up and incomplete tests contribute to diagnostic failures. This study examines a custom AI system designed to help the digital health team reliably identify patients needing follow-up and integrate findings into patient outreach. The AI agent improved detection of missed diagnoses in radiologist notes, patient outreach, and scheduling. By streamlining follow-up identification, the tool increased the chances of patients receiving timely care to improve outcomes in busy clinical environments.

Read the paper
Treacher A, Moran B, Case M, et al. Closing the loop: a custom artificial intelligence agent to improve detection of radiologist follow-up recommendations. NEJM Catal Innov Care Deliv. 2026;7(3):CAT250401.