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对在专业环境中采用生成式人工智能的认知与态度演变:中国资深医院管理者的多中心纵向定性研究

Evolving Perceptions and Attitudes to Adopting Generative AI in Professional Settings: Multicenter Longitudinal Qualitative Study of Senior Chinese Hospital Leaders.

作者信息

Zhi Zheng, Zhao Jing, Li Qiang, Li Qingxia, Xu Meifang, Zuo Yan, Wang Ming, Liu Jiankang, Guan Jingyi, Wang Jia

机构信息

Hebei University of Chinese Medicine, Shijiazhuang, China.

Hebei Province Traditional Chinese Medicine Hospital, Shijiazhuang, China.

出版信息

J Med Internet Res. 2025 Jun 27;27:e75531. doi: 10.2196/75531.

Abstract

BACKGROUND

The rapid evolution of generative artificial intelligence (GenAI) is transforming health care globally. In China, hospitals are rapidly embracing digital transformation. Senior leaders are pivotal in influencing and deciding the adoption of GenAI technologies in professional settings. However, evidence on their perceptions and attitudes and how they evolve over time is lacking.

OBJECTIVE

This study aims to investigate senior Chinese hospital leaders' perceptions relating to GenAI and their attitudes toward adopting GenAI technologies in professional settings and to document how their perspectives evolve.

METHODS

A longitudinal, descriptive qualitative study was conducted using a phenomenological approach. Senior leaders, including hospital directors/deputies and department heads/deputies, from 3 tertiary hospitals across the Hebei, Guangdong, and Sichuan provinces were purposively sampled. Data were collected through semistructured telephone interviews at two time points (baseline and 6 months later). Interview transcriptions were analyzed using Colaizzi's method to extract themes related to knowledge acquisition, attitudinal shifts, and evolving barriers and facilitators to GenAI adoption.

RESULTS

A total of 32 participants were interviewed in August 2024 and February 2025, including 11 (34.4%) participants from Hebei, 12 (37.5%) from Sichuan, and 9 (28.1%) from Guangdong. Their roles included 8 (25%) hospital directors/deputies and 24 (75%) department heads/deputies. The analysis of the interview transcriptions revealed three primary themes. First, participants' understanding of GenAI improved markedly over time as they engaged with diverse information sources and gained practical experience. Second, despite widespread support for personal use, senior leaders shifted from initial reluctance to formal institutional adoption. Third, initial obstacles, such as limited technical literacy and resource constraint concerns, diminished over time, while new drivers, including peer influence and technological breakthroughs such as DeepSeek, emerged to catalyze adoption.

CONCLUSIONS

Senior Chinese hospital leaders' perceptions and attitudes toward GenAI have evolved significantly over time. Improved knowledge through diverse information channels has enhanced their comprehension and shifted their stance from cautious personal experimentation toward formal institutional adoption. The dynamic interplay between diminishing obstacles and emerging catalysts, notably the influence of peer practices and technological breakthroughs such as DeepSeek, underscores the potential for transformative change in health care management. Targeted educational initiatives, pilot projects, and robust policy frameworks are needed to facilitate GenAI integration.

摘要

背景

生成式人工智能(GenAI)的快速发展正在全球范围内改变医疗保健行业。在中国,医院正在迅速进行数字化转型。高层领导在影响和决定GenAI技术在专业环境中的采用方面起着关键作用。然而,关于他们的看法和态度以及这些看法和态度如何随时间演变的证据却很缺乏。

目的

本研究旨在调查中国医院高层领导对GenAI的看法以及他们对在专业环境中采用GenAI技术的态度,并记录他们的观点是如何演变的。

方法

采用现象学方法进行纵向描述性定性研究。从河北、广东和四川三省的3家三级医院中,有目的地抽取了包括医院院长/副院长和科室主任/副主任在内的高层领导。在两个时间点(基线和6个月后)通过半结构化电话访谈收集数据。使用科莱齐的方法对访谈记录进行分析,以提取与知识获取、态度转变以及GenAI采用过程中不断演变的障碍和促进因素相关的主题。

结果

2024年8月和2025年2月共采访了32名参与者,其中11名(34.4%)来自河北,12名(37.5%)来自四川,9名(28.1%)来自广东。他们的角色包括8名(25%)医院院长/副院长和24名(75%)科室主任/副主任。对访谈记录的分析揭示了三个主要主题。首先,随着参与者接触到各种信息来源并获得实践经验,他们对GenAI的理解随着时间的推移有了显著提高。其次,尽管对个人使用普遍支持,但高层领导从最初的不情愿转向了正式的机构采用。第三,最初的障碍,如技术素养有限和资源限制担忧,随着时间的推移逐渐减少,而新的推动因素,如同行影响和诸如豆包等技术突破,出现以促进采用。

结论

随着时间的推移,中国医院高层领导对GenAI的看法和态度发生了显著变化。通过多样化的信息渠道提高知识水平增强了他们的理解,并使他们的立场从谨慎的个人尝试转向正式的机构采用。障碍减少与新出现的促进因素之间的动态相互作用,特别是同行实践的影响和诸如豆包等技术突破,突显了医疗保健管理变革性变化的潜力。需要有针对性的教育举措、试点项目和强有力的政策框架来促进GenAI的整合。

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