人工智能在解决日本临床研究脱节中的潜力。

IF 1.8 Q2 MEDICINE, GENERAL & INTERNAL
JMA journal Pub Date : 2025-07-15 Epub Date: 2025-06-13 DOI:10.31662/jmaj.2024-0084
Yudai Kaneda, Akihiko Ozaki
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引用次数: 0

摘要

2023年2月,日本文部科学省的一份报告强调,大学医院有一半的助理教授每周花在研究上的时间不超过5小时,15%的人根本不从事研究。这种临床实践和研究之间的脱节可能会因工作方式改革而加剧,这预示着日本大学医院在分配时间给学生指导和专门研究方面存在困难。本研究建议整合人工智能(AI)工具,如ChatGPT,以简化行政职责并提高研究生产力,这表明需要立即制定人工智能在医疗保健领域使用的伦理准则,以提高效率和患者护理质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential of Artificial Intelligence in Addressing Japan's Clinical Research Disconnection.

In February 2023, a report from the Japanese Ministry of Education, Culture, Sports, Science and Technology highlighted that half of the assistant professors at university hospitals spend five hours or less per week on research, with 15% not engaging in research at all. This disconnect between clinical practice and research may be exacerbated by work-style reforms predicting difficulties in allocating time for student guidance and dedicated research at Japanese university hospitals. This study proposes the integration of artificial intelligence (AI) tools, such as ChatGPT, to streamline administrative duties and enhance research productivity, suggesting a need for immediate development of ethical guidelines for AI use in healthcare to improve efficiency and patient care quality.

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