The Partnership Principle for Healthcare Simulations Using Artificial Intelligence: Simulationists and Techies Need to Communicate!

Abstract

Integrating artificial intelligence (AI) in healthcare simulation offers significant educational benefits, yet collaboration between simulationists and AI developers remains challenging due to differing expertise and objectives. This study examines the reasons and process of structured partnerships to optimize AI-driven simulations through a hermeneutic narrative review. It identifies critical collaboration points and introduces the AI-Simulation Partnership Framework, which aligns AI capabilities with healthcare simulation and instructional design principles. Key findings emphasize interdisciplinary communication, iterative co-design, and ethical considerations. By standardizing collaboration, the proposed framework can help align simulation development with stakeholders’ needs through improved communication. Serving as a critical collaborative checklist and a practical tool, the AI-Simulation Partnership Framework may improve the efficiency and sustainability of AI-driven simulations without causing feature bloat or omission. More targeted and adaptable simulations can, in turn, enhance training quality, which is essential for building clinical competence and improving patient care outcomes.

Ähnliche Arbeiten