Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by The Johns Hopkins Bloomberg School of Public Health. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Johns Hopkins Bloomberg School of Public Health or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

897 - Interview With A Graduate: A Doctor of Health Policy Looks At AI and Health Insurance

13:49
 
Share
 

Manage episode 484000169 series 2635898
Content provided by The Johns Hopkins Bloomberg School of Public Health. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Johns Hopkins Bloomberg School of Public Health or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
About this episode:

It’s graduation time at the Bloomberg School! Doctoral candidate Jeff Marr joins the podcast to talk about how an economics major and an early internship at a health care system led to an interest in examining how health care markets and public policy work. Soon-to-be Dr. Marr discusses his dissertation looking at how predictive algorithms lead to decisions about care coverage.

Guest:

Jeffrey Marr is a healthcare economist and doctoral candidate at the Johns Hopkins Bloomberg School of Public Health. In July 2025, he will join Brown University as an Assistant Professor of Health Services, Policy, and Practice.

Host:

Dr. Josh Sharfstein is vice dean for public health practice and community engagement at the Johns Hopkins Bloomberg School of Public Health, a faculty member in health policy, a pediatrician, and former secretary of Maryland’s Health Department.

Show links and related content: Transcript information:

Looking for episode transcripts? Open our podcast on the Apple Podcasts app (desktop or mobile) or the Spotify mobile app to access an auto-generated transcript of any episode. Closed captioning is also available for every episode on our YouTube channel.

Contact us:

Have a question about something you heard? Looking for a transcript? Want to suggest a topic or guest? Contact us via email or visit our website.

Follow us:

Note: These podcasts are a conversation between the participants, and do not represent the position of Johns Hopkins University.

  continue reading

797 episodes

Artwork
iconShare
 
Manage episode 484000169 series 2635898
Content provided by The Johns Hopkins Bloomberg School of Public Health. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Johns Hopkins Bloomberg School of Public Health or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
About this episode:

It’s graduation time at the Bloomberg School! Doctoral candidate Jeff Marr joins the podcast to talk about how an economics major and an early internship at a health care system led to an interest in examining how health care markets and public policy work. Soon-to-be Dr. Marr discusses his dissertation looking at how predictive algorithms lead to decisions about care coverage.

Guest:

Jeffrey Marr is a healthcare economist and doctoral candidate at the Johns Hopkins Bloomberg School of Public Health. In July 2025, he will join Brown University as an Assistant Professor of Health Services, Policy, and Practice.

Host:

Dr. Josh Sharfstein is vice dean for public health practice and community engagement at the Johns Hopkins Bloomberg School of Public Health, a faculty member in health policy, a pediatrician, and former secretary of Maryland’s Health Department.

Show links and related content: Transcript information:

Looking for episode transcripts? Open our podcast on the Apple Podcasts app (desktop or mobile) or the Spotify mobile app to access an auto-generated transcript of any episode. Closed captioning is also available for every episode on our YouTube channel.

Contact us:

Have a question about something you heard? Looking for a transcript? Want to suggest a topic or guest? Contact us via email or visit our website.

Follow us:

Note: These podcasts are a conversation between the participants, and do not represent the position of Johns Hopkins University.

  continue reading

797 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play