Radiology Firing Line Podcast: Risk Adjustment
Do radiologists care for sicker-than-average patients?
A recent study by Andrew Rosenkrantz and colleagues published in Academic Radiology shows that radiologists, particularly cardiovascular and interventional radiologists, care for sicker-than-average patients.
In this podcast, episode Saurabh Jha, MD, discusses the study and its implications for risk sharing and payment models with Danny R. Hughes, PhD, senior director of the Neiman Health Policy Institute. The two discuss the limitations of risk adjustment techniques and how we can better reward physicians who treat the sickest patients.
Guests: Danny R. Hughes, PhD
- What does the study say about risk adjustment?
- How do we measure severity of illness?
- How do we ensure compensation reflects the complexity of cases?
- The problem with outcome metrics
- Instead of adjusting for risk, why not make risk score a quality metric?
Resources and links mentioned in this episode: