Hospitals Deploy AI to Detect Sepsis, Kidney Disease and Neonatal Bleeds Earlier

During an AI Health Summit in New York City, health leaders highlighted how artificial intelligence is moving from back-office automation to direct patient care. Tampa General Hospital, led by John Couris, placed AI in the clinical environment first, using it to forecast sepsis and claiming more than 1,000 lives saved. Sanford Health’s chief transformation officer, Tommy Ibrahim, integrated AI into its EMR, which has doubled screening for chronic kidney disease, tripled diagnosis rates, and identified hidden colorectal cancer risk in a rural North Dakota patient.

The system also automates billing, saving an estimated 100,000 work hours this year. At Mount Sinai Health System, CEO Brendan Carr described AI tools that watch newborns for subtle signs of intracranial bleeding, allowing faster treatment. All three institutions stress that AI augments, rather than replaces, clinicians and staff.