AI and triage redesign inside Inspira Health’s ED cut under-triage rates and enhance nurse documentation with Mednition’s KATE AI tool.

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Nurses at the medical center are ...

Of the many fundamental changes brought about by the passage of the Affordable Care Act (ACA) in 2009, one of the most significant is the newfound emphasis on patient/member satisfaction. Prior to the ...

At the Society for Pediatric Dermatology annual conference, Faye Brown, MSN, APRN, FNP-BC, a family nurse practitioner at the University of Colorado School of Medicine, highlights how telemedicine ...

Rebecca Flynn, MSN, APRN, CPNP-PC, a nurse practitioner (NP) at Children's Mercy Kansas City Dermatology, explained the roles that NPs and advanced practice providers (APPs) can fulfill in ensuring ...

Background: Patients presenting to the emergency department (ED) currently face inacceptable delays in initial treatment, and long, costly hospital stays due to suboptimal initial triage and ...

In an effort to better optimize the triage of patients during mass casualty events, University of Maryland School of Medicine (UMSOM) researchers are receiving up to $7.3 million in funding from the ...

MCKINNEY, Texas--(BUSINESS WIRE)--On September 8–10, ScienceSoft will join WHX Tech 2025, an international summit on digital health innovation held at the Dubai World Trade Centre. ScienceSoft to ...

Patients could ultimately be prioritized based on a number of factors. Faced with more critically ill COVID-19 patients than equipment to treat them, hundreds of hospitals are mapping out how they can ...

Former Royal Australasian College of Physicians president Professor John Wilson has launched a stinging critique of St ...