West Orange, N.J.-based RWJBarnabas Health is working to harness the power of predictive modeling to identify early signs of patient deterioration, enabling clinical teams across its 12 hospitals to ...

Dr. Michael Spaeder of the University of Virginia previews his upcoming HIMSS26 talk on using AI and machine learning to ...

Together, the organizations will examine 700,000 historical, depersonalized patient medical records. They’ll analyze patterns from the data to see if machine learning can pinpoint risk factors for ...

About 9% of cancer patients experience complications while hospitalized that lead to a deterioration in their condition, a transfer to the intensive care unit or even death. A multidisciplinary team ...

Seventy-seven percent of nurses correctly predicted patient deterioration, with accuracy rates significantly higher in nurses with more than a year of experience, according to a Mayo Clinic study ...

Scientists from CSIRO, Australia's national science agency, have led a study to develop a machine learning tool to provide an early warning to medical professionals of a patient's deteriorating ...

HELSINKI--(BUSINESS WIRE)--With most hospitals around the world currently relying on manual “spot-checks” to monitor patient vitals, GE Healthcare unveils Portrait Mobile 3, a wireless patient ...

EarlySense, the market leader in proactive patient care solutions, announced today the results of a post regulatory approval clinical and non-interventional prospective study supporting the ...

A new machine learning tool that can predict patient deterioration has been developed by scientists from the Commonwealth Scientific and Industrial Research Organisation, Australia’s national science ...

We evaluated 21,219 admissions from 9,058 patients. The composite outcome occurred during 1,945 admissions (9.2%): 1,365 (6.4%) had at least one ICU transfer, and 580 (2.7%) involved ward death.