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

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: Algorithmic Decision-Making in Health Care: Evidence from Post-Acute Care in Medicare Advantage 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: @‌PublicHealthPod on Bluesky @‌JohnsHopkinsSPH on Instagram @‌JohnsHopkinsSPH on Facebook @‌PublicHealthOnCall on YouTube Here's our RSS feed Note: These podcasts are a conversation between the participants, and do not represent the position of Johns Hopkins University.