BEST OF: J. Michael McWilliams on the Effects of Patient Survey Data on Risk Adjustment episode artwork

EPISODE · Dec 30, 2025 · 36 MIN

BEST OF: J. Michael McWilliams on the Effects of Patient Survey Data on Risk Adjustment

from A Health Podyssey · host Health Affairs

Health Affairs' Senior Deputy Editor Rob Lott interviews J. Michael McWilliams of Harvard Medical School and Brigham and Women's Hospital on his recent paper that explores opportunities for the use of patient health survey data for risk adjustment to limit distortionary coding incentives in Medicare. Order the January 2025 issue of Health Affairs.Currently, more than 70 percent of our content is freely available - and we'd like to keep it that way. With your support, we can continue to keep our digital publication Forefront and podcasts free for everyone.

Episode metadata supplied by the publisher feed · Published Dec 30, 2025

Embed this episode

NOW PLAYING

BEST OF: J. Michael McWilliams on the Effects of Patient Survey Data on Risk Adjustment

0:00 36:58

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of A Health Podyssey?

This episode is 36 minutes long.

When was this A Health Podyssey episode published?

This episode was published on December 30, 2025.

Can I download this A Health Podyssey episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!