The role of technology in prioritizing patient safety is becoming increasingly apparent. Research is emerging around the capability of machine learning (ML) to potentially reduce medical alert fatigue ...

In today’s fast-paced healthcare environment, nurses face constant decisions on what to address first. Using structured prioritization frameworks helps them balance patient safety, acuity, and ...

Continued innovations in healthcare require a heightened focus on patient safety. Novel treatments, technologies, and care models promise to improve patient outcomes but can also introduce new patient ...

After COVID-19, most medical centers were faced with the double pressure of increasing number of patients and limited medical human resources, resulting in the crowding and shortage of hospital beds 1 ...

Fear of pain (FOP) is highly prevalent among perioperative patients, affecting up to 88.8% 1. FOP hinders postoperative functional recovery by amplifying perceived pain severity and delaying essential ...

The majority of patients with cancer receive treatments that are minimally informed by omics data. We propose a precision medicine computational framework, PANOPLY (Precision Cancer Genomic Report: ...

NEW YORK, USA, February 27, 2024 /EINPresswire.com/ -- Serenus.AI, a trailblazer in healthcare technology, announced the launch of Serenus.AI PPW™, a revolutionary ...

A team of Johns Hopkins University researchers have filed for patent protection of a system and method to determine patient prioritization for triage during mass trauma events. The system and method ...

Please provide your email address to receive an email when new articles are posted on . Surveyed clinicians agreed on the importance of supportive cancer care for patients. Respondents also ...