AI Panel Discussion: Leveraging Simulation in Healthcare and Education

Date: TBC | Time: TBC | Track Type: Expert Panel
Format: Face-to-face | Venue: Auditorium
Speakers: Prof Fernando Bello, Mr Ferooz Sekandarpoor,  Dr Pavitra Krishnaswamy, Assoc Prof Benjamin Leong and Assoc Prof Liu Nan

This timely and dynamic panel will explore the transformative intersection of Artificial Intelligence (AI) and simulation-based education in healthcare. As simulation evolves from static scenarios to intelligent, adaptive environments, AI has the potential to be a powerful catalyst for change—reshaping how we teach, learn, assess, and prepare future healthcare professionals.

With a focus on leveraging AI to enhance healthcare simulation, this expert-led discussion will highlight real-world innovations, explore ethical and equity implications, and share strategies for successful integration of AI into simulation-based educational curricula. The session will also examine the risks, biases, challenges and potential unintended consequences of AI in simulation-based training.

Learning Outcomes:

1. Evaluate the effectiveness of AI-powered simulations in healthcare training by analysing their impact on learning experiences, cost efficiency, and risk management, whilst considering their limitations and technological dependencies.
2. Demonstrate an understanding of how AI simulations can deliver personalised learning experiences through adaptive feedback mechanisms and assessment standardisation in healthcare education. 
3. Critically assess the ethical implications of implementing AI-powered simulations, particularly regarding data privacy, algorithmic bias, and accessibility in educational settings.
4. Discuss strategies for successful integration of AI technologies into simulation-based healthcare curricula, including approaches to training, support, and continuous improvement. 
5. Critically appraise the balance between AI-driven technological innovation and maintaining essential human oversight in healthcare simulation training, considering both benefits and potential risks. 
6. Consider suitable frameworks for evaluating and mitigating the challenges associated with the implementation of AI simulation implementation, including cost management, technological barriers, and ensuring equitable access.

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