AI model significantly improves detection and treatment of delirium

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and alerts a specially-trained team to assess the patient and create a treatment plan, if needed.

The model, developed by researchers at the Icahn School of Medicine at Mount Sinai, has been integrated into hospital operations, helping health care providers identify and manage…