How This New AI Model Might Help Avoid Unnecessary Monitoring of Patients?

A new study published by Nature Partner Journals shows that AI can be used to avoid unnecessary monitoring of patients, which can help reduce sleep disruption for patients and reduce staff’s workload.  The study, which collected data from 2012 to 2019, trained a recurrent deep neural network model that used data of around 2.3 million admissions and 26 million vital sign assessment. The model enables safe avoidance of overnight monitoring for 50% of patient-nights. Poor sleep is a common problem among patients, and many patients experience insomnia during the night. Sleep disruptions can make things worse and are often associated with undesirable effects ranging from delirium and cognitive impairment to weakened immunity, hypertension, elevated stress hormones and increased mor