Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Apr 5, 2025
Date Accepted: Jun 20, 2025
Evolving perceptions and attitudes to adopting Generative Artificial Intelligence (GenAI) in professional settings: A multi-center longitudinal qualitative study of senior Chinese hospital leaders
ABSTRACT
Background:
The rapid evolution of generative artificial intelligence (GenAI) is transforming healthcare globally. In China, hospitals are rapidly embracing digital transformation. Senior leaders are pivotal in influencing and deciding adoption of GenAI technologies in professional settings. However, evidence on their perceptions and attitudes and how they evolve over time is lacking.
Objective:
To investigate senior Chinese hospital leaders’ perceptions relating to GenAI and their attitudes towards adopting GenAI technologies in professional settings, and to document how their perspectives evolve over time.
Methods:
A longitudinal, descriptive qualitative study was conducted using a phenomenological approach. Senior leaders, including hospital directors/deputies and department heads/deputies, from three tertiary hospitals across Hebei, Guangdong, and Sichuan provinces were purposively sampled. Data were collected through semi-structured telephone interviews at two time points (baseline and six 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 participants from Hebei (34.4%), 12 from Sichuan (37.5%), and 9 from Guangdong (28.1%). Their roles included 8 hospital directors/deputies (25.0%) and 24 department heads/deputies (75.0%). Analysis of 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, there was a notable shift from cautious individual experimentation towards proactive planning for formal institutional integration of GenAI. 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 healthcare management. Targeted educational initiatives, pilot projects, and robust policy frameworks are needed to facilitate GenAI integration.
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