Practice Management

Employees who are bullied on the job or experience workplace violence see between a 25 and 59 percent increased risk for cardiovascular disease in their lifetime, researchers reported in the European Heart Journal.

More than half of personal healthcare information (PHI) data breaches in recent history can be traced back to healthcare providers themselves rather than hackers or external parties, researchers reported in JAMA Internal Medicine.

Just 45 minutes of chatting with a second-year medical student could improve disease management among patients with chronic conditions like hypertension, diabetes and chronic obstructive pulmonary disease (COPD), according to research published in the November issue of the Journal of the American Osteopathic Association.

As 3D printing continues to gain traction as a medical treatment tool, cardiologists across the globe are implementing the technology in their own departments and practices. But as they do, one radiologist cautions, it’s important they consider some critical groundwork that’s yet to be laid.

Machine learning tools will support physicians’ efforts to deliver better patient outcomes at lower costs.

The shortage of Molybdenum-99 (Mo-99), which is used to create the crucial nuclear imaging radioisotope Technetium-99m, is expected to improve in the coming weeks.

A machine learning-based risk calculator developed to assess an individual’s long-term risk for atherosclerotic cardiovascular disease (ASCVD) identified 13 percent more high-risk patients and recommended unnecessary statin therapy 25 percent less often than standard risk assessment tools in initial tests, researchers reported in the Journal of the American Heart Association.

The idea of “rapid and complete recovery” in Takotsubo patients is a myth, according to research published in the Nov. 7 edition of the European Heart Journal—and it’s one physicians should be paying more attention to.

As highlighted by a new study in Circulation: Cardiovascular Quality and Outcomes, the number of tweets related to cardiovascular meeting content has more than tripled in recent years.

Medical organizations across the country are trending toward patient-centered care, incorporating meaningful patient activation and engagement (PAE) into their clinical routines. But, despite a push for more personalized medicine, the majority of physicians and assistants still fail to fully understand what PAE means, and much less how to incorporate it into practice.

A new study aims to evaluate whether medical professionals with no ultrasound experience can use artificial intelligence (AI) software to capture high-quality echocardiograms, potentially opening the door to greater testing in primary care settings.

A machine learning algorithm that predicts five-year mortality among patients with atherosclerotic cardiovascular disease (ASCVD) makes the case that patient responses to questionnaires can be just as informative in risk stratification as clinical characteristics and lab measurements.