S20 - A Systematic Review and Sequential Explanatory synthesis: Artificial Intelligence in Healthcare Education, A Case of Nursing

Abstract :

Aim: To explore the impact of AI on nursing education, specifically focusing on its influence on knowledge acquisition, skills development, and attitudes among nursing students.

Design: A sequential explanatory mixed method systematic review.

Methods: This systematic review follows the PRISMA guidelines and employs a mixed-methods approach. The Mixed Method Appraisal Tool (MMAT) was used to assess the methodological quality of included studies.

Results: Nine research articles meeting the inclusion criteria were included in the review. These studies utilized both quantitative and qualitative methodologies to investigate the impact of AI on nursing education. Quantitative results revealed positive relations between AI interventions and knowledge acquisition, skills development, and attitudes towards AI among nursing students. Qualitative findings provided further context, highlighting the potential benefits of AI in enhancing learning engagement, self-efficacy, and confidence.
Synthesis: The synthesis of findings underscores the significant influence of AI on nursing education. AI interventions have the potential to improve knowledge acquisition and foster positive attitudes towards AI among nursing students. However, challenges such as limited realism in virtual simulations and ethical concerns regarding AI implementation were also identified. Further research is needed to explore the full potential of AI in nursing education.

Conclusion: In conclusion, AI holds tremendous promise for transforming nursing education. By leveraging AI effectively, nursing educators can create more engaging, personalized, and effective learning environments that better prepare students for the complexities of modern healthcare. Continued research and innovation in this area are essential to fully harness the benefits of AI in nursing education.

Please include a short summary of your presentation that highlights why an attendee would want to participate in your session.: In this session, explore how AI is transforming nursing education. Discover how virtual patients and AI tools can enhance students' knowledge, skills, and attitudes, preparing them for real-world healthcare challenges. Join us to learn practical applications and strategies for elevating your teaching with cutting-edge technology.