Quality

The focus of quality improvement in healthcare is to bolster performance and processes related to diagnostic and therapeutic procedures. Leaders in this space also ensure the proper selection of imaging exams and procedures, and monitor the safety of services, among other duties. Reimbursement programs such as the Merit-based Incentive Payment System (MIPS) utilize financial incentives to improve quality. This also includes setting and maintaining care quality initiatives, such as the requirements set by the Joint Commission.

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The increased use of implantable loop recorders (ILRs) is associated with identifying more bradyarrhythmias such as bradycardia, according to new findings published in JAMA Cardiology.

Increased AFib screening improves bradyarrhythmia detection—but is it a mixed blessing?

When long-term continuous monitoring detects bradyarrhythmia in an asymptomatic patient, is it still providing value? 

The evolution of care: 3 key takeaways from a new survey of cardiologists, health leaders and CVD patients

The report, developed by Abbott, examined everything from AI to social determinants of health. One key finding was that patients grade their overall satisfaction with a physician or hospital based on much more than the effectiveness of their treatment. 

A team of cardiologists from Cleveland Clinic and Stanford University recently tested ChatGPT, the popular artificial intelligence (AI) model, to see if it could accurately answer questions about preventive cardiology and cardiovascular disease. The model performed well, only missing a handful of questions, and the researchers concluded that ChatGPT showed considerable potential. Cleveland Clinic cardiologist Ashish Sarraju, MD, was the lead author of that study. #ChartGPT

ChatGPT and cardiology: A close look at the strengths and weaknesses of AI chatbots

Ashish Sarraju, MD, a cardiologist with Cleveland Clinic, discussed his recent research on ChatGPT, its potential to change patient care and more. 

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Cardiologists ask popular AI model ChatGPT to answer questions about cardiology

Can ChatGPT discuss preventive cardiology with patients? Cardiologists with Cleveland Clinic and Stanford University put the popular AI model to the test, sharing their findings in JAMA.

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New guideline on mechanical circulatory support tackles device selection, ethical dilemmas and more

The Heart Failure Society of America and International Society for Heart and Lung Transplantation worked together on the document, hoping their recommendations serve as a "critical roadmap" for clinicians. 

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Greater access to TAVR linked to better patient outcomes

How does access to care influence short-term TAVR outcomes? Researchers explored data from nearly 22,000 patients to find out. 

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Comprehensive heart teams are rewriting the rules of patient care

Multidisciplinary heart teams are growing more and more popular among hospitals and health systems all over the world. What started as a way to select TAVR patients has become something much more important. 

A transcatheter aortic valve replacement (TAVR) procedure being performed at Intermountain Healthcare. Image from Intermountain Healthcare

TAVR and PAD: What cardiologists need to know

TAVR patients presenting with peripheral artery disease face significantly higher in-hospital risks, according to a new study published in Current Problems in Cardiology. 

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Around the web

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Health Imaging
New imaging protocols proposed to curb rise of cardiovascular infections

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.