Development of Virtual Reality SBIRT Skill Training with Conversational AI in Nursing Education

Seo, Jinsil Hwaryoung; Chaudhury, Rohan; Oh, Jun Kyun; Kicklighter, Caleb; Arguello, Tomas; Wells-Beede, Elizabeth; Weston, Cindy

doi:10.1007/978-3-031-36272-9_59

Cited by 2 publications

(2 citation statements)

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“…Their study highlights the value of AI in creating realistic, high-stakes training scenarios that improve preparedness and confidence. Moreover, Seo et al (2023) [24] contribute by introducing VR SBIRT training with conversational AI, providing nursing students with diverse, interactive learning scenarios [24]. This capability is crucial for preparing students to handle unexpected challenges in real-world clinical settings, ultimately leading to better preparedness and confidence in patient care.…”

Section: Ai As Innovative Education and Practice In Healthcarementioning

confidence: 99%

“…Further, hands-on experience with AI tools, builds confidence in healthcare professionals, allowing them to view AI as an augmentation of their skills. For instance, Seo et al (2023) [24] used a virtual reality platform with conversational AI for nursing students to practice patient interactions, enhancing their clinical skills through immersive learning. Similarly, Narang et al (2021) [32] employed a deep-learning algorithm to guide novices in performing echocardiograms, showing AI's ability to augment medical training.…”

Section: Strategies To Foster Readiness To Use Ai In Healthcarementioning

confidence: 99%

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The Role of Artificial Intelligence in Modern Medical Education and Practice: A Systematic Literature Review

Rasouli,

Alkurdi,

Jia

2024

Preprint

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The integration of Artificial Intelligence (AI) into medical education has emerged as a transformative element in the modern healthcare educational system. With the exponential growth of medical knowledge and the increasing complexity of healthcare systems, AI offers innovative solutions to enhance learning outcomes, facilitate personalized education pathways, and improve clinical decision-making skills among medical professionals. This literature review explores the transformative role of AI in the training of healthcare providers, focusing on advancements in medical education, medical diagnostics, and emergency care training. Additionally, it addresses the readiness of healthcare professionals to employ AI technologies, analyzing their current knowledge, attitudes, and the training provided. By synthesizing findings from multiple studies, we aim to highlight AI's potential to enhance medical education, address challenges, and propose future directions for integrating AI into healthcare training.

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Section: Ai As Innovative Education and Practice In Healthcarementioning

confidence: 99%

Section: Strategies To Foster Readiness To Use Ai In Healthcarementioning

confidence: 99%