How the Affordable Care Act Affects Radiology
VIDEO: Cindy Moran, of the American College of Radiology, discusses how the health care reform law will affect radiologists and how to get involved.
The Affordable Care Act has a “growing profound effect” on radiology, according to Cindy Moran, assistant executive director for the American College of Radiology.
In this video, Moran discusses how the health care reform law is accelerating the transition away from a fee-for-service reimbursement model. Payment systems will become more hospital-centric with bundled payments, she said.
The changes brought by health care reform are good news for radiology, Moran said, and individual providers should get involved and take leadership positions as the industry transforms.
Where Things Stand with the Radiologist Shortage
June 18th 2025A new report conveys the cumulative impact of ongoing challenges with radiologist residency positions, reimbursement, post-COVID-19 attrition rates and the aging of the population upon the persistent shortage of radiologists in the United States.
How to Successfully Launch a CCTA Program at Your Hospital or Practice
June 11th 2025Emphasizing increasing recognition of the capability of coronary computed tomography angiography (CCTA) for the evaluation of acute and stable chest pain, this author defuses common misperceptions and reviews key considerations for implementation of a CCTA program.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Mammography AI Platform for Five-Year Breast Cancer Risk Prediction Gets FDA De Novo Authorization
June 2nd 2025Through AI recognition of subtle patterns in breast tissue on screening mammograms, the Clairity Breast software reportedly provides validated risk scoring for predicting one’s five-year risk of breast cancer.
