This AI-driven incidental findings program identifies and then monitors pancreatic abnormalities to improve the quality of care to patients who are at increased risk for developing pancreatic cancer. To do so, the patient management software integrates with the electronic health record and facilitates patient identification, risk assessment, care plan tracking, patient and provider communication, outcomes recording, and registry functionality. In the 2 years following program implementation, 82 pancreatic cancers were detected from incidental findings with 65% of patients being diagnosed in earlier stages (stages I, II, and III), as well as instances of ampullary cancer, gallbladder cancer, and gastric cancer.
Cooperman Barnabas Medical Center received a 2024 Innovator Award for its use of AI software integrated with the electronic health record to accurately identify and capture pancreatic abnormalities from radiology reports and conduct longitudinal surveillance of patients.
