AI in Healthcare Simulation: Pioneering New Horizons
Explore how artificial intelligence is revolutionizing healthcare simulation, from education to patient safety and ethical implications.
The Editorial Board of Advances in Simulation is excited to announce a call for original contributions for a new collection titled “Applications of Artificial Intelligence in Healthcare Simulation.” This collection aims to highlight cutting-edge research, innovative methodologies, and practical applications of AI in simulation for health and social care.
The integration of AI technologies into simulation-based education, research, patient safety, and systems improvement presents a transformative opportunity to advance the field. Contributions from a range of methodological approaches, including quantitative, qualitative, and mixed-method studies, innovations, and technical developments, are welcome. Interdisciplinary collaborations between healthcare simulation experts, clinicians, data scientists, computer scientists, and software engineers are encouraged.
AI in Healthcare Simulation Education
AI is being used to design scenarios and curricula, create AI-driven virtual patients, and enhance the learning experience. These applications can make simulations more realistic and adaptable, improving the training of healthcare professionals.
AI for Developing Health and Social Care Simulation Faculty
AI can provide guided feedback for facilitator performance and improve debriefing skills. This can help simulation faculty members become more effective educators and mentors.
AI for Assessment in Healthcare Simulation
AI can automate the assessment of learner performance, providing more accurate and consistent evaluations. This can help identify areas for improvement and enhance the overall quality of simulation-based training.
AI for Translational Simulation, Patient Safety, and Systems Integration
AI can be integrated into clinical workflows and decision-making processes, improving patient safety and systems integration. This can lead to more efficient and effective healthcare delivery.
Applications of AI in Research and Scholarship in Healthcare Simulation
AI can be used for data interpretation, academic writing, and grant applications. This can help researchers and educators stay at the forefront of their fields and drive innovation in healthcare simulation.
Ethical and Legal Implications of AI in Healthcare Simulation
Addressing the ethical and legal implications of AI in healthcare simulation is crucial. Issues such as bias, AI hallucinations, and data privacy must be carefully considered to ensure the responsible use of AI.
Achieving AI Literacy for Simulation Practitioners, Researchers, and Educators in Health and Social Care
Staying up-to-date on AI-driven technologies is essential for simulation practitioners, researchers, and educators. This collection aims to provide resources and insights to help the healthcare community navigate the rapidly evolving landscape of AI in simulation.
Through this special collection, we aim to paint a picture of the evolving landscape of AI in simulation and stimulate discussion on future directions in this emerging field. Submissions are open until March 30, 2026, and we welcome contributions from researchers, practitioners, and educators across the globe.
Frequently Asked Questions
What is the focus of the 'Applications of Artificial Intelligence in Healthcare Simulation' collection?
The collection focuses on cutting-edge research, innovative methodologies, and practical applications of AI in healthcare simulation, including education, assessment, patient safety, and ethical implications.
Who are the guest editors of this collection?
The guest editors are Adam Cheng, MD, FRCPC from the University of Calgary, Canada; Matthias Wilms, PhD from the University of Michigan—Ann Arbor, United States; and Carolyn McGregor, AM, PhD from Ontario Tech University, Canada.
What are the key areas of research being invited for submission?
Key areas include AI in healthcare simulation education, developing simulation faculty, assessment in healthcare simulation, translational simulation, patient safety, systems integration, research and scholarship, ethical and legal implications, and achieving AI literacy.
What is the submission deadline for this collection?
The submission deadline for this collection is March 30, 2026.
How can AI improve healthcare simulation education?
AI can enhance healthcare simulation education by designing realistic scenarios, creating virtual patients, and providing personalized feedback to learners, thereby improving the overall training experience.
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