Advancing Geriatric Care: Harnessing AI and Human Expertise to Enhance CNA Training
Suzanne White, Stephanie Trotter, Robin McAtee, Valerie Bearden

TL;DR
This paper describes how AI and expert knowledge were combined to create a new training program for nursing assistants focused on geriatric care.
Contribution
The novel approach integrates AI content generation with expert review to develop a geriatric specialty curriculum for CNAs.
Findings
A 40-hour Advanced Geriatric Specialty curriculum was developed using ChatGPT and expert input.
The curriculum includes scenario-based activities and pre/post tests aligned with geriatric best practices.
AI-generated content was refined by experts to ensure accuracy and clinical relevance.
Abstract
Staff of the Arkansas Geriatric Education Collaborative (AGEC), a HRSA-funded Geriatric Workforce Enhancement Program, employed a strategic collaboration between human expertise and artificial intelligence (AI), specifically ChatGPT, a Large Language Model (LLM) to develop a robust 40-hour Advanced Geriatric Specialty curriculum for Certified Nursing Assistants (CNAs). Subject matter experts (SMEs) first conducted a thorough review of the Arkansas State CNA curriculum, identifying opportunities to supplement geriatric knowledge and practice. Based on this analysis, they developed a list of learning module topics to include in the specialty curriculum, beginning with an introduction to the 4Ms of Age-Friendly Care – What Matters, Medication, Mentation, and Mobility. ChatGPT was then employed to synthesize information from reputable sources for each topic and accelerate the generation of…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Simulation-Based Education in Healthcare · Digital Mental Health Interventions
