Clinicians’ increased burdens are making it harder for valid concerns voiced by patients, their families and their caretakers to be acknowledged, raising the risk of missed diagnoses and exacerbated ...

Despite AI's potential, human hospital staff efforts are still key in significantly improving patient safety. Artificial intelligence applications may dominate health care discourse, but the low-tech ...

Texas A&M Architecture For Health is available to stream on pbs.org and the free PBS App, available on iPhone, Apple TV, Android TV, Android smartphones, Amazon Fire TV, Amazon Fire Tablet, Roku, ...

In healthcare C-suites across the country, patient experience is a top priority. From medical practices and ambulatory surgery centers to large hospital systems, leaders are rethinking every stage of ...

Clinicians and other workers in the healthcare delivery chain are always looking for ways to improve workflow. Similarly, hospital and health system leadership always desire new ways to develop their ...

ECRI has named insufficient governance of artificial intelligence in healthcare as one of its top 10 patient safety concerns for 2025. The report, which ECRI published Monday, warned AI could lead to ...

Patient safety sets the foundation for a safe, equitable, trustworthy care experience — regardless of whether you’re operating in a virtual health system or a physical one. And yet, despite increased ...

BOSTON & SAN DIEGO--(BUSINESS WIRE)--The 2025 IHI Patient Safety Congress kicked off today, bringing together health care professionals, patient safety advocates, and learners from around the world in ...

“First, do no harm” may be the most well-known adage in the medical profession, but it’s far more than an admonishment. Preventing harm by investing in patient safety is a smart business strategy that ...

WHEN a patient is harmed in a hospital, our cultural reflex is to hunt for a villain. A doctor is named, a nurse is ...

Study in a Sentence: Cedars-Sinai researchers are developing KronosRx, an artificial intelligence-powered platform that uses human-derived organoids and deep-learning models to forecast adverse drug ...