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信息化人工智能使用对全科医生和内科医生的临床能力的有效性:干预前后研究
Eyad A Qunaibi1, Ayman M Al-Qaaneh2, Baraa F Ismail3
1Department of International Research, MedOne Academy, Dover, DE, United States.
JMIR medical education
|February 5, 2026
概括
一个定制的培训课程显著提高了医生在使用人工智能 (AI) 照顾患者时的临床决策技能和信心. 这项研究强调了结构化的AI教育对医疗保健专业人员的重要性.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 临床能力评估临床能力评估
背景情况:
- 人工智能 (AI) 具有临床诊断,治疗支持和医疗保健效率的潜力.
- 临床验证有限,对从业人员能力的影响不明确,阻碍了人工智能在现实世界医疗保健中的应用.
- 有效,自信和道德的人工智能集成需要解决这些采用障碍.
研究的目的:
- 评估定制人工智能培训对全科医生和内科医生的临床能力的影响.
- 在培训后评估医生对临床AI应用态度的变化.
- 为了确定医疗实践中知情AI使用的有效性.
主要方法:
- 一项干预前后研究涉及来自39个国家的326名医生.
- 参与者完成了临床决策测试 (诊断,治疗,咨询) 在1.5小时AI培训课程之前和之后.
- 培训后的测试允许人工智能协助 (GPT-4.0),评估性能,时间和人工智能感知.
主要成果:
- 平均考试成绩从56.9%增加到77.6% (P<.001),通过率从6.4%增加到58.6%.
- 所有技能领域都显著改善 (P<.001);测试完成时间略有增加.
- 医生报告说,他们对人工智能的准确性和效率有了更大的信心,并且更愿意将人工智能纳入患者护理.
结论:
- 定制的人工智能培训可以提高医生的临床决策性能和对人工智能使用的信心.
- 这项研究提供了在大型跨国队列中对能力和感知收益的经验证据.
- 研究结果支持将结构化的AI培训整合到医学教育和专业发展中,以改善临床实践.
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