人工智能和医生倦怠:一个生产力悖论
David Alexander Goodson1, Brittany Garcia1, Michael Hogarth2
1Department of Internal Medicine University of California, Davis Sacramento California USA.
Learning health systems
|October 31, 2025
概括
声称人工智能 (AI) 工具将减少医生倦怠还为时过早. 在人工智能重组医疗工作或患者护理之前,需要严格的评估.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 医生福利 医生福利
背景情况:
- 医生倦怠是美国医疗保健的一个重要问题,部分归因于电子健康记录 (EHR) 系统.
- 拟议的人工智能 (AI) 技术,包括人工智能书记者,通过提高EHR利用率和文档效率来缓解倦怠.
研究的目的:
- 在临床环境中批判性地检查现有的AI书记研究.
- 根据医疗保健提供洞察力和EHR经验,预测人工智能对提供者倦怠的影响.
主要方法:
- 在临床背景下对人工智能书记的当前研究的审查.
- 分析医疗保健提供系统和EHR功能.
- 预测人工智能对供应商倦怠的影响.
主要成果:
- 目前的证据不足以得出结论,人工智能工具将最终减少医生倦怠.
- 将人工智能写字器集成到学习健康系统中,为安全采用带来了挑战,影响了医疗保健工作人员和患者护理.
结论:
- 人工智能支持的医疗保健技术将改善护理并减少倦怠的说法尚未得到证实.
- 在将人工智能广泛应用于医疗保健之前,需要进一步严格评估和高标准的证据.
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