A study group of more than 600,000 patients with type 2 diabetes, identified from electronic medical records in the PCORnet national research network, could be valuable for assessing the safety of type 2 diabetes drugs.

For many years, VUMC has been recognized as a leader in clinical informatics — the application of computer science and information science to the delivery of health care services.

Investigators will use computational methods to shed light on suicidal ideation and its relationship to attempted suicide, predict suicidal ideation and suicide attempt using routine electronic health records (EHRs) and explore the genetic underpinnings of both.

VUMC and the Nashville Fire Department are testing a system to automatically generate patient acuity scores and abbreviated care records of in-transit patient procedures based on computer interpretations of signals from sensors and video cameras.

Simulated electronic health records could avoid patient privacy risks and help speed discovery.

Patients who receive treatment at three VUMC clinics were recently given full access to their clinicians’ notes in their electronic medical records as part of an OpenNotes pilot.

Machine learning on unlabeled electronic health record data has shed light on the emergence of cardiovascular disease.