This channel includes news on cardiovascular care delivery, including how patients are diagnosed and treated, cardiac care guidelines, policies or legislation impacting patient care, device recalls that may impact patient care, and cardiology practice management.
As one may expect, patient satisfaction was considerably higher for individuals who did not have to fast for a minimum of six hours prior to treatment. There were no other significant differences.
Not long ago, physicians and grocery clerks had a key duty in common: ‘connective labor.’ Today barcode reading machines sweep you through the checkout. And AI can handle most of your health questions.
Clinicians who come to rely on AI for decision support risk the dulling of their skills.The concern is not new. But now comes a pointed call to researchers: Inquire about the particulars of the peril.
With patients gaining access to imaging reports earlier than ever, it's critical they have access to large language models that can accurately summarize the results.
New data on the RDN systems from Recor Medical and Medtronic confirmed that this relatively new technology brings long-term relief to patients with uncontrolled hypertension.
Just because it’s efficient doesn’t mean it’s effective. Nowhere is this thought more deserving of reflection than in healthcare AI—especially when it’s applied to clinical decision support.
The patient reported chest pain multiple times and had a family history of heart disease. According to the lawsuit, however, he was never referred to a cardiologist.
Nearly 90% of adults are believed to already have at least one risk factor of CKM syndrome. The American Heart Association hopes patient education and physician collaborations can help increase awareness about this dangerous condition.
A facility outside the United States has received the American Heart Association's Comprehensive Heart Failure Center Certification for the first time.
Provider organizations are using generative AI for all sorts of use cases. It’s delivering impressive returns in two—tech support and patient experience.
A slow but sure approach to governance can keep AI champions focused on improving patient care when—and even after—the technology builds unstoppable momentum seemingly of its own accord.