Understanding the Impact of AI Doctors’ Information Quality on Patients’ Intentions to Adopt AI for Independent Diagnosis: Scenario-Based Experimental Study

The development of artificial intelligence (AI) systems capable of independent diagnosis offers a promising solution for optimizing medical resource allocation, especially as their diagnostic accuracy can exceed that of some primary medical staff. However, despite these advancements, many patients e...

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Bibliographic Details
Published in:	Journal of medical Internet research Vol. 27; no. 11; p. e62885
Main Authors:	Liu, Yongmei, Wang, Zichun, Peng, Bo
Format:	Journal Article
Language:	English
Published:	Canada Journal of Medical Internet Research 19.08.2025 JMIR Publications
Subjects:	Adoption and Change Management of eHealth Systems Adult AI Language Models in Health Care Applications of AI Artificial Intelligence Consumer Health Informatics Innovations Decision Support for Health Professionals Female Humans Information management Intention Machine Learning Male Mediation Medical care Medical personnel Middle Aged Original Paper Physician-Patient Relations Physicians Quality management Responsible Health AI United States Connecticut information quality AI doctor diagnosis system digital consultation diagnostic transparency diagnostic argument quality AI technology artificial intelligence digital health decision-making perceived expertise scenario-based disease diagnosis health informatics AI doctor adoption intention
ISSN:	1438-8871, 1439-4456, 1438-8871
Online Access:	Get full text
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