Radiologist Workloads Surge Despite Fewer Scans Per Patient
A recent podcast episode analyzed a decade of imaging trends, revealing that while the number of imaging studies per patient has decreased, radiologist work as measured by RVUs has significantly increased. Over the last ten years, CT relative value units (RVUs) have risen by 80% and MRI RVUs by 90%, fueling questions about capacity, burnout, and operational costs.
- The shift toward more complex and time-consuming studies, such as CT and MRI, is a primary driver of increased radiologist workload, even as the total number of imaging exams per patient has decreased. One study of inpatient imaging from 2012 to 2023 found that while total imaging exams adjusted for case mix decreased, CT and MRI volumes rose by 19% and 21% respectively. - A major trend reshaping the imaging landscape is the movement of services from hospitals to outpatient settings, including freestanding imaging centers and ambulatory clinics. Approximately 40% of all radiology volume is now performed in these outpatient facilities, a shift driven by lower costs and greater patient convenience. - Health systems are actively acquiring or partnering with freestanding imaging centers to build out their outpatient imaging strategies and capture this migrating volume. This consolidation is also fueled by reimbursement cuts and operational challenges that make it difficult for smaller, independent centers to compete. - The U.S. outpatient imaging market is highly fragmented, with around 6,800 Independent Diagnostic Testing Facilities (IDTFs), creating significant opportunities for consolidation by large providers like RadNet and for private equity investment. - Payers are accelerating the site-of-care shift by implementing policies that restrict coverage for certain MRI and CT scans performed in more expensive hospital-based departments, directly influencing where patients receive care. - The shortage of radiologists and technologists is a critical factor impacting capacity and operational costs across all imaging settings. This workforce shortage is exacerbated by an aging population requiring more imaging and a limited number of new trainees entering the field. - Artificial intelligence is being integrated into radiology workflows to improve efficiency, with some studies showing AI can increase reporting efficiency by an average of 15.5% and reduce scan times by 30-75% without compromising quality. As of mid-2025, the FDA had approved over 870 AI algorithms for radiology, signaling rapid technological advancement. - Proposed site-neutral payment policies, which would equalize Medicare reimbursement between hospital outpatient departments and freestanding imaging centers, could further accelerate the shift of imaging services out of hospitals if enacted.
