Accepted for/Published in: JMIR Medical Education
Date Submitted: Apr 29, 2023
Date Accepted: Jun 11, 2024
Reforming China's Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era
ABSTRACT
Background:
China's secondary vocational medical education has played a pivotal role in training primary healthcare personnel and enhancing the nation's public health response capabilities. However, the current system, while facing the impact of Artificial Intelligence (AI), overly emphasizes knowledge acquisition and tends to neglect skill development and application.
Objective:
This article aims to explore the influence of AI on medical practice and, based on this examination, propose potential reforms for China's secondary vocational medical education system.
Methods:
AI demonstrates significant potential in enhancing diagnostic capabilities, therapeutic decision-making, and patient management. Yet, it also raises concerns about potential job losses and the need for medical professionals to adapt to new technologies. To better prepare medical students for future challenges, China's secondary vocational medical education should emphasize critical thinking, hands-on experience, skill development, medical ethics, integration of the humanities, and the incorporation of AI. Continuous evaluation and long-term research on these reforms are crucial.
Results:
AI shows great potential in improving diagnostic capabilities, treatment decisions, and patient management. However, it also raises concerns about job loss and the need for medical professionals to adapt to new technologies. To better prepare students for the future, China's secondary vocational medical education should focus on practical experience, skills development, medical ethics, humanities, and AI integration. Continuous assessment and long-term research are essential for evaluating the effectiveness of these reforms.
Conclusions:
To address the evolving challenges and opportunities in the medical field, China's secondary vocational medical education needs to rectify its current shortcomings and proactively embrace advancements in AI, ensuring the effective training of future medical professionals.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.