Toward amplifying the good in nursing education: A quality improvement study on implementing artificial intelligence-based assistants in a learning system

Abstract

Effective integration of artificial intelligence-based tools into nursing care and science will depend on aligned integration in nursing education. Our quality improvement study documents the process and short-term outcomes of introducing a generative AI-based tool into a nursing education system. Nursing school faculty and staff at one private, southeastern university (n = 364) piloted an internally constrained chatbot system for 2 months in 2024. Data were captured to evaluate the (a) costs of implementation, (b) use cases in nursing education, and (c) projected system impact. Costs were lower than $2 per month, per user. There were 148 diverse case reports from 35 unique users. On a separate survey, 35 respondents rated technology acceptability as 5.2/7.0. Projected impact is high (6.3/7.0), but not entirely positive (5.9/7.0). Benefits and challenges were identified. Nursing will need to invest expert time and community resources to evolve education systems along with these evolving technologies.

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