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生成式人工智能在持续专业发展(CPD)中的未来:众包联盟社区

The Future of Generative AI in Continuing Professional Development (CPD): Crowdsourcing the Alliance Community.

作者信息

Ensign Dustin, Nisly Sarah A, Pardo Caroline O

机构信息

Independent Consultant, San Francisco, USA.

Outcomes and Clinical Impact, Clinical Education Alliance, Kansas city, USA.

出版信息

J CME. 2024 Dec 9;13(1):2437288. doi: 10.1080/28338073.2024.2437288. eCollection 2024.

Abstract

More than a decade ago, Dr. Curtis Olson published a futuristic commentary predicting the next era of Continuing Professional Development (CPD). While Dr. Olson considered crucial change at the forefront of CPD, the last decade has also seen a wave of technology changes that few could predict. In this mixed methods analysis, we describe a qualitative process in identifying the next decade of changes to the process of healthcare education. We sought to engage our community in a grassroots collaborative, amplifying the voices of those involved in shaping the past, pushing the current, and setting the future of CPD. This research includes quantitative and qualitative survey research, focus group facilitation, and collaborative workshops. In each setting, respondents provided commentary and unification of themes related to changes in technology and how it will shape the future of CPD. Here, we report the findings of those themes and recommendations for appropriate and thoughtful use of technology.

摘要

十多年前,柯蒂斯·奥尔森博士发表了一篇具有前瞻性的评论文章,预测了继续职业发展(CPD)的下一个时代。虽然奥尔森博士认为关键变革处于CPD的前沿,但过去十年也见证了一波几乎无人能预测到的技术变革浪潮。在这项混合方法分析中,我们描述了一个定性过程,以确定未来十年医疗教育过程中的变革。我们试图让我们的社区参与基层协作,放大那些参与塑造CPD的过去、推动当下并设定其未来的人的声音。这项研究包括定量和定性的调查研究、焦点小组引导以及协作研讨会。在每种情况下,受访者都对与技术变革及其将如何塑造CPD未来相关的主题发表了评论并进行了主题统一。在此,我们报告这些主题的研究结果以及关于合理且审慎使用技术的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22ba/11633854/5aa14aefcae4/ZJEC_A_2437288_UF0001_OC.jpg

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