Detecting patient clinical deterioration early on holds the promise to decrease mortality and improve outcomes. However, it remains a challenge in both hospital and ambulatory settings. Stanford ...

A trio of companies has introduced new advances in artificial intelligence designed to improve patient outcomes and reduce clinician burnout. RapidAI announced a new tool that helps front-line ...

The authors developed and validated an accurate, well-calibrated, easy-to-implement COVID-19 hospitalized patient deterioration index to identify patients at high or low risk of clinical deterioration ...

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.

Forbes contributors publish independent expert analyses and insights. Jesse Pines is an expert in healthcare innovation and wellness. This voice experience is generated by AI. Learn more. This voice ...

Dr. Michael Spaeder, professor in the department of pediatrics at the University of Virginia, tells MobiHealthNews about his upcoming talk at the 2026 HIMSS Global Health Conference & Exposition in ...

A new study has identified several predictors of clinical deterioration and ICU admission in patients transferred from the Nunavik region of northern Quebec to a level 1 trauma center. The ...

A device driven by artificial intelligence that works to predict when a patient will deteriorate could provide a more accurate picture than traditional vital signs, a new study suggests. The ...

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 ...