Trust in artificial intelligence-based follow-up in hospital information systems: development and validation of a new scale
The Artificial Intelligence-Based Follow-Up Trust Scale demonstrated strong reliability and validity. This valuable tool can assess trust in artificial intelligence-based follow-up systems, supporting future research and the development of strategies to increase trust and improve follow-up adherence.
Authors
- Yufen Chen (ORCID: https://orcid.org/0000-0001-8959-9571)
- Shuicheng Yan (ORCID: https://orcid.org/0000-0001-8906-3777)
- Ting Guo (ORCID: https://orcid.org/0000-0002-4823-731X)
- YU Li-hua
- Zhiyao Zheng
- Lili Xie (ORCID: https://orcid.org/0009-0002-3188-2248)
- Hui Tu
- Xiaofeng Peng
Institutions
- Nanchang University (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Second Affiliated Hospital of Nanchang University (CN)
Publication Details
- Journal
- BMC Psychology
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1186/s40359-025-03855-x
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00