Hospital billing and collection practices, a national data set
A two-year project examining the extent to which hospitals send bills to collections, deny care, and sue patients.
The United States faces a significant and persistent issue with medical debt that continues to intensify. Millions of Americans are affected. Even those with relatively good health insurance plans may find themselves grappling with substantial medical bills and accumulation of debt.
One factor contributing to this phenomenon is the varied billing and collection practices of hospitals. Some hospitals file lawsuits against patients or deny care to those with outstanding bills. Hospitals also engage third-party debt collection agencies to recoup outstanding payments, which can lead to damaged credit scores and a cycle of financial hardship for patients already in a vulnerable position due to their health conditions.
Advocates argue for addressing the root causes of high healthcare costs, improving transparency in pricing, and making changes to help patients navigate and negotiate their medical bills. But more data is needed to help inform these and other efforts aimed at reducing the medical debt problem.
Lown’s project involves a systematic review of financial assistance policies and billing and collection practices across 2,500 hospitals in the United States. Initial data are expected to be available in mid-2024 with a full report being issued in 2025. This work builds upon existing research conducted by Noam Levey, senior correspondent, at KFF Health News.
This project is supported through funding from Arnold Ventures.
Inquiries
Media inquiries should be directed to Aaron Toleos, vp of communications, at atoleos@lowninstitute.org.
Hospitals with questions about the project should contact Carissa Fu, chief of staff, at cfu@lowninstitute.org.
Project Team
Vikas Saini, MD, president
Kelsey Chalmers, PhD, director of research
Paula Smith, MPH, senior data scientist
Carissa Fu, chief of staff
Anna Back, MPH, healthcare data research assistant
Vivien Talon, healthcare data research assistant
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