Machine Learning to Predict Inpatient Deterioration and Alert Clinicians: From Raw Data to Clinical Implementation

One of our RCC fellows, Santiago Romero-Brufau, MD PhD, will give the Clinical Informatics Lecture at the Harvard Medical School. He will present some of his previous work at Mayo Clinic developing and implementing a machine-learning model. The model predicts deterioration in hospitalized patients and sends an alert to physicians and nurses, and it achieved a significant reduction in the time to response, which is associated with a reduction in mortality risk.

Speaker: Santiago Romero-Brufau. Master’s of Science in Health Data Science Candidate at the Harvard T.H. Chan School of Public Health; Assistant Professor in Medicine and in Healthcare Systems Engineering at Mayo Clinic.

Sponsors: Harvard Clinical Informatics Lecture Series, Harvard Medical School.