Health Services Research & Policy ■ Clinical Practice Management ■ Training & Education ■ Leadership
Health Services Research & Policy ■ Clinical Practice Management ■ Training & Education ■ Leadership
Health Services Research & Policy
■ Clinical Practice Management
■ Training & Education ■ Leadership

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

Episode outline:

  • 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:

Physician Specialty and Radiologist Characteristics Associated with Higher Medicare Patient Complexity

And Then There Were Five
Failing to Communicate
 

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Friday, 21 September 2018

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