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Transforming medical education: Conversational Generative Pre-trained Transformer’s (ChatGPT) integral role in simulation zones

2024·3 Zitationen·Indian Journal of AnaesthesiaOpen Access
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3

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2024

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Abstract

Dear Editor, In the dynamic landscape of medical education, the fusion of artificial intelligence (AI) and simulation technologies has ushered in a new era of immersive learning experiences.[1] Several innovations use AI technology available in the public domain [Table 1]. Among these innovations, the Conversational Generative Pre-trained Transformer (ChatGPT), an AI-powered conversational agent developed by OpenAI, is leading the charge in revolutionising medical training. ChatGPT is enhancing prebriefing, scenario creation, and debriefing and redefining the educational paradigm for aspiring healthcare professionals through its seamless integration into simulation zones.[2]Table 1: Artificial intelligence chatbots for medical education and training simulationPrebriefing sessions, essential for setting learning objectives and establishing psychological safety, are enriched by ChatGPT’s ability to engage students in interactive discussions about upcoming scenarios. ChatGPT provides guidance, clarifies expectations and fosters a sense of readiness as students prepare to enter simulated clinical environments, ensuring optimal immersion and learning outcomes.[3] ChatGPT is a versatile tool for educators to design diverse and realistic patient encounters in scenario creation. Educators can collaborate with ChatGPT through natural language interaction to script-nuanced scenarios that challenge students’ clinical reasoning and communication skills. Whether simulating a routine patient consultation or a high-stakes medical emergency, ChatGPT adapts its responses based on student actions, creating dynamic and authentic learning experiences. During simulations, ChatGPT assumes the role of virtual patients, seamlessly integrating into the scenario to provide lifelike interactions. Students engage in clinical assessments, formulate diagnoses and execute treatment plans while conversing with ChatGPT, which responds with realistic feedback and cues. The adaptive nature of ChatGPT allows for tailored responses that mirror real-world patient interactions, enhancing the authenticity and efficacy of the simulation experience.[4] ChatGPT facilitates debriefing sessions by providing structured feedback, prompting reflective questions and guiding students through self-assessment exercises. By leveraging AI-driven analytics, ChatGPT identifies learning gaps and areas for improvement, empowering students to address weaknesses and refine their clinical skills iteratively. Moreover, ChatGPT’s role extends beyond individual simulation sessions to encompass longitudinal learning trajectories. ChatGPT offers insights into student progress and competence development over time by storing and analysing data from multiple interactions. Educators can track performance trends, identify patterns of growth and tailor learning interventions accordingly, fostering continuous improvement and mastery of clinical competencies. Kundra and Senthilnathan,[5] in a recent editorial, highlighted how machine learning–powered simulations in anaesthesia help doctors make better decisions for patients with complex medical conditions. In conclusion, ChatGPT’s integration into simulation zones represents a paradigm shift in medical education, where AI-driven technologies enhance every facet of the learning journey. From prebriefing to scenario creation, from immersive simulations to debriefing, ChatGPT enriches the educational experience, empowering students to become skilled, empathetic and resilient healthcare practitioners. As the frontier of medical training continues to evolve, ChatGPT stands as a beacon of innovation, shaping the future of healthcare education one conversation at a time. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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Artificial Intelligence in Healthcare and EducationMachine Learning in HealthcareClinical Reasoning and Diagnostic Skills
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