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Experts reviewed the Arkansas State CNA curriculum, identified gaps to expand geriatric knowledge and practice, and defined module topics beginning with the 4Ms of Age-Friendly Care. ChatGPT synthesized information for each topic, producing module content, scenarios or reflection activities, and pre/post tests. 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College of Nursing-University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States, 2. University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States, 3. Oaklawn Center on Aging, Hot Springs, Arkansas, United States  \nStaff 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 content for each module, linking content across modules to the 4Ms where relevant. Each module included a scenario-based application activity or a reflection exercise to reinforce learning and encourage critical thinking. Pre/post tests were also generated to assess the learning of key concepts. Subject matter experts reviewed and refined all AI-generated content to ensure accuracy, clinical relevance, and alignment with best practices in geriatric care. This innovative integration of AI-driven content development with expert oversight allowed for the accelerated creation of a high-quality, evidence-informed curriculum to enhance geriatric competency for CNAs.","cbCaigXYAx6AYZXs","https://ap.wps.com/l/cbCaigXYAx6AYZXs","pdf",921593,"English","# Curriculum development approach\n## 4Ms topic framework\n## AI-assisted content synthesis\n## Scenario activities and reflection exercises\n## Pre/post testing and expert review","[{\"question\":\"How were human experts and AI used in building the CNA curriculum?\",\"answer\":\"Subject matter experts reviewed the existing state curriculum and defined learning module topics, while ChatGPT synthesized reputable information to accelerate module content creation. Experts then reviewed and refined all AI-generated materials for accuracy and clinical relevance.\"},{\"question\":\"Which framework guided the specialty curriculum’s initial module topics?\",\"answer\":\"The curriculum began with an introduction to the 4Ms of Age-Friendly Care: What Matters, Medication, Mentation, and Mobility.\"},{\"question\":\"What learning activities and assessments were included in each module?\",\"answer\":\"Each module included scenario-based application activities or reflection exercises to reinforce learning and encourage critical thinking, along with pre/post tests to assess key concept mastery.\"}]","ADVANCING GERIATRIC CARE - Harnessing AI and Human Expertise to Enhance CNA Training | PDF",1790642101]