医疗保健数字化的人类面孔:一项混合方法研究,研究情绪智能与倦怠之间的关系
1Department of Management Information Systems, Faculty of Economics, Administrative and Social Sciences, Istanbul Topkapi University, Istanbul 34662, Türkiye.
Behavioral sciences (Basel, Switzerland)
|November 27, 2025
概括
情绪智能 (EI) 帮助医疗保健专业人员在数字化转型期间应对倦怠. 较高的EI与较低的倦怠程度有关,在不断变化的医疗保健环境中提供了关键的应对机制.
科学领域:
- 医疗保健管理的管理
- 心理学 心理学 心理学
- 信息科学 信息科学 信息科学
背景情况:
- 医疗保健的数字化转型增加了工作压力和倦怠风险.
- 情绪智能 (EI) 对于应对工作场所需求至关重要.
- 了解EI - 燃烧关系对于员工福祉至关重要.
研究的目的:
- 调查在经历数字化转型的医疗保健专业人员中情绪智能和倦怠之间的关系.
- 在数字医疗保健背景下,识别EI和数字医疗保健倦怠的文献中的概念差距.
- 提供关于EI如何在技术转变期间影响心理福祉的经验证据.
主要方法:
- 混合方法方法结合了参考文献分析 (540项研究,2004-2025年) 和对590名医院员工的调查.
- 图书统计分析发现了研究趋势和EI和倦怠文献中的差距.
- 来自处于先进数字化转型阶段 (HIMSS 6-7) 的医院的调查数据使用SPSS 23.0.0.进行分析.
主要成果:
- 在情绪智能和倦怠之间发现了显著的负相关性.
- 较高的EI水平与医疗保健员工报告的倦怠率较低有关.
- 回归分析证实了EI-burnout关系的稳定性,并提供了影响大小的估计.
结论:
- 在数字化转型的医疗环境中,情绪智能是缓解倦怠的关键因素.
- 劳动力损失,倦怠和数字化转型的交集是一个新兴的研究领域,需要进一步探索.
- 调查结果强调,在技术进步的背景下,培养情商的重要性是为了支持医疗保健专业人员的心理健康.
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