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    Twelve Tips to Guide the Use of Data with Generative AI for Accreditation and Continuous Quality Improvement

    This resource explores the use of generative AI applications for accreditation and continuous quality improvement activities in medical education. The first six tips present guidance on preparing to use data with generative AI, and the second set of six tips focuses on using and analyzing data with generative AI. While we acknowledge that generative AI tools and the expertise surrounding their use are rapidly changing, we share these recommendations to encourage the broader adoption of generative AI in medical education through a deliberate and informed approach. 

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    Authors 

    Julie Youm, PhD, Associate Dean, Education Compliance and Quality, and Director, Educational Technology, UCI School of Medicine

    Zahra Dabzadeh, Data Analyst and Project Manager, Accreditation Compliance and Quality Improvement, UCI School of Medicine