Author(s)

Qianyu Luo ¹

Affiliation(s)

¹ College of Health Management, Shanghai Jian Qiao University, Shanghai, China

Corresponding Author

Qianyu Luo

ABSTRACT

This research examines how three key aspects of ChatGPT – exlplainability, perceived ease of use, and technical trust – shape user health management practices, focusing on the role of perceived ease of use. We analyze the survey data from 106 health and social work professionals in China using PLS-SEM. The findings reveal that ChatGPT's clarity enhances both technical trust and perceived ease of use, while technical trust further strengthens perceived ease of use, directly improving health management practices. Moreover, perceived ease of use mediates the effects of exlplainability and technical trust on health behaviors, with confidence and ease of use forming a chain mediation between exlplainability and health management. Our research extends the theoretical framework for ChatGPT's application in health management and provides practical implementation insights.

KEYWORDS

Artificial intelligence, Exlplainability, Technical trust, Perceived ease of use, Health management behavior

CITE THIS PAPER

Qianyu Luo. Unpacking AI Adoption in Health Management: A PLS-SEM Analysis. Social Medicine and Health Management (2026). Vol. 7, No.1, 40-47. DOI: http://dx.doi.org/10.23977/socmhm.2026.070105.

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