Posts by Thomas H. McCoy, MD
Natural Language Processing of Admission Notes at Delivery Predicts Severe Maternal Morbidity
Mark A. Clapp, MD, MPH, a Maternal–Fetal Medicine Program specialist, and colleagues created a computer algorithm to predict severe maternal morbidity simply by reviewing the free-text history and physical notes in the patient's chart at the time of hospital admission for delivery.
Using EHR Data to Screen for Dementia May Facilitate Earlier Diagnosis
Researchers at Massachusetts General Hospital are the first to demonstrate that it's possible to identify individuals at risk of dementia years ahead of a formal diagnosis using natural language processing of electronic health records.
Using Machine Learning to Identify Suicide Risk
Applying natural language processing to hospital discharge notes made it possible to identify psychopathology associated with the timing of suicide risk and accidental death in a general hospital population.
Novel Locus for Delirium Risk Identified
Researchers at Massachusetts General Hospital have performed the first genome-wide association study aimed at providing insight into the biological basis of delirium.
Dr. McCoy attended Dartmouth College and Cornell Medical School before completing the Mass General/McLean Psychiatry residency and an informatics fellowship in the Center for Experimental Drugs and Diagnostics. Dr. McCoy served as the Consult Psychiatry Chief Resident at Mass General.