‘Would Have Been Dead’: Hospitals Using AI to Save Lives
AI is moving beyond administrative tasks in health care, helping clinicians detect serious conditions earlier and act faster.
Hospitals are utilizing artificial intelligence to save lives by identifying serious conditions earlier and providing clinicians with more time to intervene. At Tampa General Hospital, AI was initially deployed in the clinical environment to focus on areas that could impact quality, safety, and patient outcomes. By detecting sepsis and septicemia, two of the leading causes of death, the hospital has saved over 1,000 lives, including mothers, fathers, aunts, uncles, grandparents, and their families.
Hospital CEO John Couris emphasized that AI was not solely responsible for these outcomes, crediting doctors, nurses, pharmacists, and scientists for translating AI insights into better patient care. With the 48-hour mortality rate at Tampa General below 5%, significantly lower than the U.S. average of 15-18% and some hospitals reaching 30%, AI has revolutionized clinical decision-making.
Sanford Health is also leveraging AI to identify disease risk earlier. By embedding the technology into electronic medical records, the organization has doubled chronic kidney disease screenings and tripled the diagnosis rate, ultimately preventing progression to dialysis. Additionally, Sanford is benefiting from administrative gains, with automation of billing and payment tasks projected to save 100,000 hours, equivalent to about 50 full-time employees.
Dr. Brendan Carr, CEO of Mount Sinai Health System, highlighted AI's potential in detecting intracranial bleeding in newborns. By monitoring infants on camera, healthcare professionals can identify early signs of the condition, enabling quicker intervention and improving outcomes.
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