Patient Deterioration Predictor Could Surpass Limits of Traditional Vital Signs

July 21, 2022

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Read time:

5-15 mins
Doctor Nurse Looking Computer Screen
Presented by Health Lab

A new artificial intelligence-driven device developed at the U-M Weil Institute for Critical Care Research and Innovation may provide a more accurate picture of patient deterioration than traditional vital sign measurements, according to a new study from Michigan Medicine. The Analytic for Hemodynamic Instability (AHI) uses software as a medical device to detect and predict changes in hemodynamic status in real-time using data from a single electrocardiogram lead. Ben Bassin, M.D., senior author of the study, highlights some key findings, suggesting that the AHI may be able to provide continuous dynamic monitoring capabilities in patients who traditionally have intermittent static vital sign measurements.

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