Failure to follow up on abnormal diagnostic test results can cause delays in patients receiving appropriate care. This hospital used an artificial intelligence natural language processing system to identify radiology reports requiring follow-up. The system triggered automated notifications to the patient and ordering provider, and tracked follow-ups to completion. System development, deployment and next steps are detailed.