Today’s hospitals and health systems are plagued by a conundrum: providers have too much data, but not enough data insights.

The large language models underpinning generative AI have tremendous potential to wrangle messy medical data, chat with patients about their personal ... researchers trying to develop the long-touted ...

Dong Chen, MD, PhD, discusses how AI has changed the landscape for genomic testing and patient management. AI has truly revolutionized healthcare, profoundly enhancing both patient management and the ...

Real-world data (RWD) creates exciting new opportunities to improve patient safety. This data helps to bridge the gap between research and healthcare practice, allowing life sciences companies and ...

In healthcare, accurate and up-to-date provider information is critical for meeting patient care needs and maximizing revenue. It powers everything from provider onboarding and enrollment to patient ...

The patient knowledge gap is considered to be a critical shortcoming for the medical community, particularly at a time ...

Among the recommendations is the issue of access to NHS patient data, which has been a source of considerable controversy and debate in recent years that has come to a head with the award of a £ ...

Objectives To identify and assess the social support interventions provided to caregivers of older adults with dementia. By ...

Listener feedback, CRT vs CSP, important clues on the ECG, beta-blocker interruption after myocardial infarction, novel approaches to LDL-C lowering, and ICD decisions in cardiac sarcoidosis are ...