Artificial intelligence in virtual reality simulation for interprofessional communication training: Mixed method study

Liaw, Sok Ying; Tan, Jian Zhi; Lim, Siriwan; Zhou, Wentao; Yap, John; Ratan, Rabindra; Sim, Leng Ooi; Wong, Shu Jing; Seah, Betsy; Chua, Wei Ling

doi:10.1016/j.nedt.2023.105718

Cited by 40 publications

(43 citation statements)

References 28 publications

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“…AI-based assessment tools automatically analyze student performance, provide objective feedback, and enable self-debriefing through self-reflection. In addition, AI simulations automatically generate evaluation reports on each student's nursing performance, saving instructors time in writing reports and improving evaluation accuracy [4,[8][9][10][11].…”

Section: The Benefits Of Nursing Simulation Education With Artificial...mentioning

confidence: 99%

“…The second technical challenge is data privacy and security concerns. AI simulations use sensitive patient data, raising ethical and legal considerations regarding data privacy, security, and confidentiality [5][6][7][8][9]. The third challenge is cost and resource allocation.…”

Section: Challenges and Hurdlesmentioning

confidence: 99%

“…The third challenge is cost and resource allocation. Implementing AI-driven simulation education may require a significant financial investment, including acquisition of AI tools, training faculty, and maintaining technical infrastructure [4][5][6][7]9,10].…”

Section: Challenges and Hurdlesmentioning

confidence: 99%

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Challenges for future directions for artificial intelligence integrated nursing simulation education

Jung

2023

Korean J Women Health Nurs

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Artificial intelligence (AI) has tremendous potential to change the way we train future health professionals. Although AI can provide improved realism, engagement, and personalization in nursing simulations, it is also important to address any issues associated with the technology, teaching methods, and ethical considerations of AI. In nursing simulation education, AI does not replace the valuable role of nurse educators but can enhance the educational effectiveness of simulation by promoting interdisciplinary collaboration, faculty development, and learner self-direction. We should continue to explore, innovate, and adapt our teaching methods to provide nursing students with the best possible education.

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Section: The Benefits Of Nursing Simulation Education With Artificial...mentioning

confidence: 99%

Section: Challenges and Hurdlesmentioning

confidence: 99%

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Challenges for future directions for artificial intelligence integrated nursing simulation education

Jung

2023

Korean J Women Health Nurs

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“…45,46 Well-designed simulation scenarios that encompass new and innovative techniques, such as virtual reality, utilization of standardized patients, artificial intelligence-assisted patient response technologies, and combinations of these methods allow student nurses and/or transitioning new graduate nurses to work through situations with a building block approach where difficulty and acuity can increase, collaboration with other professionals can occur, and learning to ask for help is practiced. 47 Coping techniques such as positive affirmations, cognitive rehearsal, time management, and communication can be intentionally discussed and practiced during the classroom, clinical experiences, and simulation activities. 46 Recognizing the changing landscape of nursing and the need to educate nurses for readiness to practice, the AACN launched curriculum guidelines titled, "The Essentials: Core Competencies for Professional Nursing Education" in 2021.…”

Section: Readiness To Practicementioning

confidence: 99%

“…Practicing multiple skills and developing competency, including interpersonal and communication experience, within a controlled and supported setting builds confidence and increased clinical judgment that allows for pivoting of action during stressful client situations 45,46. Well-designed simulation scenarios that encompass new and innovative techniques, such as virtual reality, utilization of standardized patients, artificial intelligence-assisted patient response technologies, and combinations of these methods allow student nurses and/or transitioning new graduate nurses to work through situations with a building block approach where difficulty and acuity can increase, collaboration with other professionals can occur, and learning to ask for help is practiced 47. Coping techniques such as positive affirmations, cognitive rehearsal, time management, and communication can be intentionally discussed and practiced during the classroom, clinical experiences, and simulation activities 46…”

Section: Readiness To Practicementioning

confidence: 99%

Better Together

Compton-McBride,

Reed,

McGuire

et al. 2023

Nursing Administration Quarterly

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Nursing is a demanding profession that calls for nurses to devote time, energy, advocacy, and compassion to improving clients' lives while providing safe, efficient care. Nurses make personal sacrifices to meet their clients' needs, which do not come without costs to their well-being. An increased migration of novice nurses out of the profession and the need to increase the volume of the nursing workforce by an average of 8% annually to address the projected nursing shortage presents a compelling need for immediate action. Reimagining the concept of academic-service partnerships to provide exposure to opportunities that can equip and empower novice nurses as they emerge into professional practice cannot be underestimated. Implementing approaches to assess, support, and nurture the health and well-being of nurses and health care organizations is foundational to retention.

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Perceptions and attitudes of health science students relating to artificial intelligence (AI): A scoping review

Derakhshanian,

Wood,

Arruzza

2024

Health Science Reports

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Background and AimsThe recent integration of artificial intelligence (AI) across education, research, and clinical healthcare has led to a growing interest in AI training for healthcare students. This scoping review seeks to delve into existing literature, aiming to evaluate the perceptions and attitudes, of health science students toward the implementation of AI in their field.MethodsThis review followed the methodological guidance offered by Arksey and O'Malley and the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis extension for Scoping Reviews (PRISMA‐ScR). A systematic search was conducted in the databases Medline, Emcare, and Scopus. Studies using both quantitative and qualitative methodologies were eligible if they explored the perceptions or attitudes of health science students in relation to AI. Relevant data from eligible articles was extracted and analyzed using narrative synthesis.ResultsTen studies were included. Articles reported on the primary outcomes of perceptions (i.e., thoughts, ideas, satisfaction, etc.) and attitudes (i.e., beliefs, tendencies, etc.). Disciplines included nursing, diagnostic radiography, pharmacy, midwifery, occupational therapy, physiotherapy, and speech pathology were featured. Overall, students felt positively about the potential benefits AI would have on their future work. Students' interest and willingness to learn about AI was also favorable. Studies evaluating attitudes found positive correlations between attitudes toward AI, AI utilization, and intention to use AI. Negative perceptions related to threats of job security, and a lack of realism associated with AI software.ConclusionOverall, evidence from this review indicates that health science students' worldwide hold positive perceptions toward AI. Educators should focus on instilling positive attitudes toward AI, given correlations between AI exposure and intention to adopt AI.

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Artificial intelligence in virtual reality simulation for interprofessional communication training: Mixed method study

Cited by 40 publications

References 28 publications

Challenges for future directions for artificial intelligence integrated nursing simulation education

Challenges for future directions for artificial intelligence integrated nursing simulation education

Better Together

Perceptions and attitudes of health science students relating to artificial intelligence (AI): A scoping review

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