Abstract：
Generative Artificial Intelligence (GenAI) caught Health Professions Education (HPE) institutions off-guard, and they are currently adjusting to a changed educational environment. On the horizon, however, is Artificial General Intelligence (AGI) which promises to be an even greater leap and challenge. This Guide begins by explaining the context and nature of AGI, including its characteristics of multi-modality, generality, adaptability, autonomy, and learning ability. It then explores the implications of AGI on students (including personalised learning and electronic tutors) and HPE institutions, and considers some of the context provided by AGI in healthcare. It then raises the problems to address, including the impact on employment, social risks, student adaptability, costs, quality, and others. After considering a possible timeline, the Guide then ends by indicating some first steps that HPE institutions and educators can take to prepare for AGI.
摘要：
生成人工智能(GenAI)让卫生职业教育(HPE)机构措手不及，他们目前正在适应变化的教育环境。在地平线上,然而,是人工通用智能（AGI），它有望成为更大的飞跃和挑战。本指南首先解释了AGI的背景和性质，包括它的多模态特征，一般性，适应性，自主性,和学习能力。然后探讨了AGI对学生（包括个性化学习和电子导师）和HPE机构的影响，并考虑了AGI在医疗保健领域提供的一些背景。然后提出了需要解决的问题，包括对就业的影响，社会风险,学生适应性,成本,质量,和其他人。在考虑了可能的时间表之后，然后，该指南以指出HPE机构和教育工作者可以采取的准备AGI的一些第一步。
