Decision Support Systems

An AI decision support tool embedded in routine care did not meaningfully improve outcomes for patients presenting to the ED with myocardial injury, but showed signs of benefit in an all-comer cohort, a speaker reported.

In a large, real-world cohort undergoing routine echocardiography, an artificial intelligence decision-support algorithm identified patients with moderate to severe forms of aortic stenosis associated with poor survival if left untreated.

Primary care physicians did not use clinical decision support often when diagnosing patients with chronic kidney disease, according to data published in Kidney Medicine.

New data published in JAMA Network Open suggest that a machine learning algorithm may be able to accurately predict a patient’s risk for pulmonary embolism and may help improve use of CT imaging for PE.

Implementation of an automated tool designed to support adherence to guidelines and promote optimal decision making and antibiotic use resulted in significantly reduced mortality in patients with severe sepsis, according to findings presented at the Society for Healthcare Epidemiology of America spring conference.