Abstract
Artificial Intelligence (AI) is reshaping healthcare education by personalizing learning, enhancing clinical skills, and improving student outcomes. This case study examines AI’s role in healthcare curricula, focusing on its applications in simulation-based learning, adaptive platforms, and predictive assessments. AI-driven tools such as virtual reality, augmented reality, and predictive analytics enable tailored educational experiences, helping students engage with content at their own pace while developing critical thinking and decision-making skills. The use of virtual simulations allows students to practice complex clinical scenarios in safe, controlled environments, fostering skill development and confidence before direct patient interaction. While AI holds promise for advancing healthcare education, this poster also addresses key ethical considerations, including empathy, rapport, and the need for faculty training to ensure responsible usage. Findings suggest that AI can significantly improve healthcare education by providing real-time, data-driven feedback and fostering a personalized approach to learning. This research advocates for thoughtful AI integration, balancing innovation with ethical standards to prepare healthcare students for a dynamic, patient-centered field.
Presenters
Natalie A. PerkinsDepartment Chair, Occupational Therapy, University of the Pacific, California, United States
Details
Presentation Type
Theme
KEYWORDS
Healthcare Education, Occupational Therapy, Virtual Reality, Augmented Reality
