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The mission of the Harvey L. Neiman Health Policy Institute® is to establish foundational evidence for health policy and radiology practice that promotes the effective and efficient use of health care resources and improves patient care.

June 17, 2026

Webinar: HPI Best of Radiology Research 2025

The “HPI’s Best in Radiology Research 2025” webinar provides an overview of the Harvey L. Neiman Health Policy Institute’s research and its influence on radiology policy, workforce planning, population health, value-based care, and interventional radiology.

HPI research highlights a growing divergence between imaging demand and radiologist supply, with increasing imaging utilization and workforce attrition creating concerns about timely patient access. The webinar also demonstrates how radiology contributes to population health and quality measurement within value-based payment programs, while showcasing emerging work on the interventional radiology workforce.

Key Takeaways:

Radiology workforce shortages are projected to worsen: Imaging utilization is expected to continue increasing through 2055 while radiologist supply growth lags behind demand.

Non-physician imaging interpretation and expanded scope-of-practice raise concerns: Studies suggest that non-physician ordering and interpretation are associated with increased repeat imaging rates, potentially contributing to overuse.

The pediatric radiology workforce is difficult to define: Claims-based methods may better estimate the pediatric radiology workforce.

Radiology plays an important role in population health: Opportunistic CT represents a powerful, low-cost strategy to identify osteoporosis risk. The “Neiman Cancer Disparity Maps” demonstrate how community factors influence cancer screening rates, prevalence, and mortality.

Value-based payment and interventional radiology are growing research priorities: Clinicians are increasingly reimbursed based on value (outcomes, quality, and cost efficiency) rather than volume. However, current value-based models may be poorly aligned with radiology.