ABSTRACTS
Harnessing the Power of Artificial Intelligence in Medical Simulation EducationAuthor: Jackson Deziel | | Associate Authors:
Introduction: Artificial intelligence (AI) has the potential to revolutionize medical simulation education by enhancing realism, personalization, and effectiveness. The integration of AI into medical simulation education presents an approach to address the growing need for effective training for healthcare professionals. AI simulations can create realistic and adaptable patient cases, allowing learners to practice their clinical decision-making and problem-solving skills. AI simulations are designed to mimic real-world situations, presenting learners with complex medical cases that require critical thinking, teamwork, and application of best practices. Objective: To explore the effectiveness of AI-simulation scenarios in improving learning experience, skill development, and patient outcomes. Methods: We conducted a systematic review of existing literature on AI in medical simulation education, focusing on studies that evaluated the use of AI in simulation-based training for healthcare professionals. Results: Pedagogy enhanced by AI demonstrated improved learner engagement, enhanced clinical competency, and better preparedness. Learners were assessed on their ability to effectively manage the AI scenarios, with the data used to provide personalized, real-time feedback and recommendations for skill development. Our review identified a number of benefits of AI in medical simulation education, including personalized training scenarios, enhanced debriefing and feedback, and streamlined data analysis. Conclusions: This may inform the development of more effective simulation curricula, ultimately leading to the conclusion that the integration of AI in medical simulation education can enhance the development of healthcare professionals. AI has the potential to transform medical simulation education, but it requires careful consideration of its limitations. By leveraging AI-driven algorithms, healthcare professionals can engage in realistic, personalized, and effective simulation-based training experiences. Future research should focus on developing standardized AI-based simulation tools and evaluating the effectiveness of AI-driven training programs in improving patient safety and healthcare outcomes.
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