Sep 24, 2024

AI tool reduces risk of unexpected hospital deaths by 26 per cent

Research: Artificial Intelligence in healthcare, Impactful research, Disruptive Innovation
Amol Verma and Muhammad Mamdani
Amol Verma (left) and Muhammad Mamdani (right)

A new study by LMP appointed faculty, Dr. Amol Verma and Dr. Muhammad Mamdani evaluates the use of CHARTWatch, an artificial intelligence early warning system developed at Unity Health Toronto that monitors hospitalized patients in real-time, identifies those at high risk of unexpected death or transfer to an intensive care unit, and alerts doctors and nurses to intervene early.

The study, published in the Canadian Medical Association Journal, shows a 26 per cent reduction in unanticipated mortality after the tool was implemented in the general internal medicine ward of Unity Health Toronto’s St. Michael’s Hospital.

Read the full story on U of T News

Access the study: Clinical evaluation of a machine learning–based early warning system for patient deterioration

Find out more about T-CAIREM, The Temerty Centre for Artificial Intelligence Research and Education in Medicine.