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How future health care leaders practice making tough decisions before the stakes are real

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How future health care leaders practice making tough decisions before the stakes are real

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Case-based learning, or CBL, is a teaching approach that asks students to apply what they know to realistic problems, weigh their options and make decisions before the consequences are real. Today, the approach has evolved well beyond reading a case and discussing it in class.

The studies included in a new George Mason review capture some of these newer approaches. Students on a pediatric orthopedic rotation may work through cases together on WeChat. Medical students can test their judgment in high-pressure scenarios using lifelike mannequins. And in health administration, educators are experimenting with ChatGPT to generate cases that put management concepts into practice.

The new scoping review, led by George Mason University College of Public Health researcher John Cantiello with co-author Renee Geschke, pulls together 83 articles published from 2017 through 2025 to examine how case-based learning is changing and what supports its effective use.

The paper is published in the Journal of Health Administration Education's new special issue focused on case studies, simulations and gamification.

"Technology is opening up new possibilities for case-based learning, including realistic simulations and feedback tailored to individual students," said Cantiello, professor in the Department of Health Administration, Policy, and Informatics.

"Across the literature, a recurring theme was the importance of using those tools within carefully designed cases that asked students to work through realistic problems, make decisions and apply what they were learning.


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