影响中国医生使用医疗大语言模型的因素
Shujuan Qu1,2, Lin Liu2, Min Zhou3,4
1Nursing Department, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Digital health
|November 11, 2024
概括
这项研究揭示了影响医生采用医学大语言模型 (MLLMs) 的关键因素. 感知到的易用性和实用性显著推动了中国医疗从业者采用MLLM.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 医疗技术采用 医疗技术采用
背景情况:
- 全球对医学大语言模型 (MLLMs) 的兴趣很高,但影响医疗专业人员采用它们的因素尚不清楚.
- 了解这些决定因素对于成功将MLLM纳入临床实践至关重要.
研究的目的:
- 确定影响中国医生使用医学大语言模型 (MLLMs) 的意图的心理和人口因素.
- 扩展技术接受模型 (TAM) 以额外的构造来解释MLLM采用.
主要方法:
- 基于TAM的扩展理论模型被开发出来.
- 在2023年3月至12月期间,对955名中国医疗从业者进行了一项混合在线和离线调查.
- 使用结构方程建模来分析数据和测试假设.
主要成果:
- 感知到的易用性对感知到的有用性和满意度产生了积极的影响.
- 内容质量影响了满意度,但没有影响到实用性;技术支持和社会影响影响了实用性.
- 感知到的有用性和满意度积极预测了使用行为,而感知到的风险则对其产生了负面影响. 人口因素调节了满意度与使用的关系.
结论:
- 该研究提供了对中国医生采用MLLM的经验见解.
- 结果为未来的研究,开发和实施医疗保健中MLLM提供了有价值的管理影响.
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