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Research & Insights

The EHR revolution has significantly transformed healthcare work and the flow of information, but it hasn't come without costs, measured in increased administrative burden and the accompanying stress for healthcare professionals. Can generative AI help?

CBOH's Joshua Barrett and Audra Rankin contributing work group members on NCIOM's 2024 nursing workforce recommendations report.

CBOH's Markus Saba, along with UNC School of Medicine and Kenan-Flagler Business School MD/MBA dual degree student Austin Allen, have co-authored an article that offers a comprehensive overview of the current status and future direction of prior authorization. 

CBOH Faculty Director, Dr. Bradley Staats, writes in Harvard Business Review how retailers and health systems can improve care together.

As healthcare costs continue to rise, many Americans are looking to artificial intelligence to provide cost-reducing solutions.

Taming the rising costs of prescription drugs has been a focus of U.S. healthcare reform for the past decade. Recently, issues of how drug list prices are set, who reaps the benefits, and how those costs are passed on to patients have come under increased scrutiny.

Joshua Barrett, Associate Director of Research, spoke at an online seminar hosted by the University of Toronto’s Dalla Lana School of Public Health. The seminar was titled, 'Nursing perspectives on health equity and commercial determinants of health'.

The Center for the Business of Health and the Kenan Institute held an exclusive lunchtime conversation with Dr. Craig Albanese, CEO of Duke University Health System, and Dr. Wesley Burks, dean of the UNC School of Medicine and CEO of UNC Health.

As the 2023 UNC Business of Healthcare Conference approaches, this overview provides a brief introduction to the topic, "What’s Driving Healthcare Prices?"

An editorial published by CBOH Associate Director of Research, Joshua Barrett, in the journal Clinical Nursing Research concerning the commercial determinants of health (CDoH).

As payments from the National Opioid Settlement and other opioid-related lawsuits are distributed to local governments across the country, the question many communities are asking is, 'How should we spend the funds?'

This paper presents the development, validation, and implementation of a data-driven optimization model designed to dynamically plan the assignment of anesthesiologists across multiple hospital locations within a large multi-specialty healthcare system.