ArticleDigital health
Assessing usability of intelligent guidance chatbots in Chinese hospitals: Cross-sectional study.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Developing a Service Quality Index System for AI Health Care Chatbots: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Obesity care in Chinese adults: from evidence to clinical practice.Precision clinical medicine · 2025Review
- Utilization of artificial intelligence in clinical practice: A systematic review of China's experiences.Digital healthReview
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Authors and funding
6 authors.
Funding
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Abstract
Objective: This study aimed to assessing usability of intelligent guidance chatbots (IGCs) in Chinese hospitals. Methods: A cross-sectional study based on expert survey was conducted between August to December 2023. The survey assessed the usability of chatbots in 590 Chinese hospitals. One-way ANOVA was used to analyze the impact of the number of functions, human-like characteristics, number of outpatients, and staff size on the usability of the IGCs. Results: The results indicate that there are 273 (46.27%) hospitals scoring above 45 points. In terms of function development, 581(98.47%) hospitals have set the number of functions between 1 and 5. Besides, 350 hospitals have excellent function implementation, accounting for 59.32%. In terms of the IGC's human-like characteristic, 220 hospitals have both an avatar and a nickname. Results of One-way ANOVA show that, the number of functions( Conclusions: This study found that the differences in the usability of hospital IGCs at various levels of the number of functions, human-like characteristics, number of outpatients, and staff size. These findings provide insights for deploying hospital IGCs and can inform improvements in patient's experience and adoption of chatbots.
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