Improving Health Economics, Quality and Value: The Importance of the Heart Team

Learn from this implanter-turned-administrator how Loma Linda University Health Care is focused on growth and strategy to improve patient care and outcomes, strengthen their heart team and measure and monitor their financials to ensure their patients and program are healthy. Dr. Anthony Hilliard shares how they’re nurturing their team and culture and investing in their people, patient experience, IT and marketing to achieve consistently strong clinical and financial results.

Comprehensive heart teams are rewriting the rules of patient care

A heart team working together during a TAVR procedure at Emory. The success of the heart team approach has has made it a model for care collaborations across cardiovascular care.

A heart team working together during a TAVR procedure at Emory. The success of the heart team approach has has made it a model for care collaborations across cardiovascular 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. 

Legal considerations for artificial intelligence in radiology and cardiology

An example of an FDA cleared radiology AI algorithm to automatically take a cardiac CT scan and identify, contour and quantify soft plaque in the coronary arteries. The Cleerly software then generates an automated report with images, measurements and a risk assessment for the patient. This type of quantification is too time consuming and complex for human readers to bother with, but AI assisted reports like this may become a new normal over the next decade. Example from Cleerly Imaging at SCCT 2022.
An example of an FDA cleared radiology AI algorithm to automatically take a cardiac CT scan and identify, contour and quantify soft plaque in the coronary arteries. The Cleerly software then generates an automated report with images, measurements and a risk assessment for the patient. This type of quantification is too time consuming and complex for human readers to bother with, but AI assisted reports like this may become a new normal over the next decade.

There are now more than 520 FDA-cleared AI algorithms and the majority are for radiology and cardiology, raising the question of who is liable if the AI gets something wrong.