How to improve the curriculum review process using large language models (LLMs)

17/07/2024 18 min Episodio 40
How to improve the curriculum review process using large language models (LLMs)

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Episode Synopsis

In this episode, Dr. Deborah Chang, Director of Curriculum Evaluation at UT Health San Antonio discusses how UT Health's School of Medicine is using large language models (LLMs) to improve their curriculum review process. Dr. Chang shares how AI has helped synthesize large amounts of data, providing detailed results and summaries to faculty members and committee members — in turn enhancing continuous quality improvement processes. Timestamp of our conversation:  01:44 - What motivated the use of LLMs? 03:08 - What were the challenges prior to using LLMs? 05:08 - Were there any reservations about using LLMs? 06:57 - What was the methodology used? 10:33 - What was learned? 12:20 - Did you find other applications for LLMs? 13:59 - What are the benefits to using LLMs 14:45 - Advice for using LLMs Links: Virtual Community | https://www.aamc.org/career-development/affinity-groups/gir/join-information-technology-academic-medicine-virtual-community LSL Conference | https://web.cvent.com/event/99043fd8-771d-49ab-8823-802c2c916313/ Speakers: Anju Visen-Singh VP, Marketing and Product at Acuity Insights Dr. Deborah Chang Director of Curriculum Evaluation, UT Health San Antonio Connect with Anju: https://www.linkedin.com/in/anjuvisensingh/ Connect with Deborah: https://uthscsa.edu/medicine/about/oume/team Visit our blog for more exciting insights: https://acuityinsights.com/resources/blog/

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