Young Adult Perspectives on Artificial Intelligence–Based Medication Counseling in China: Discrete Choice Experiment
We conducted an in-depth investigation of the preference of young people for AI-based medication counseling services. Service providers should pay attention to symptom-specific results, support more convenient access platforms, and optimize the language description, content models that add multiple digital media interactions, and more refined medication counseling to develop AI-based medication counseling services.
Authors
- Xiaoqian Xia (ORCID: https://orcid.org/0009-0002-6913-2549)
- Zi-yun Zhou (ORCID: https://orcid.org/0000-0003-1725-0017)
- Jing Bo Zhang (ORCID: https://orcid.org/0000-0002-3669-0264)
- Xiaoming Zhou (ORCID: https://orcid.org/0000-0003-1398-5382)
- Yibo Wu (ORCID: https://orcid.org/0000-0001-9607-313X)
- Jing Wang (ORCID: https://orcid.org/0009-0003-7060-0589)
- Jia Zhang (ORCID: https://orcid.org/0000-0003-2328-4491)
Institutions
- Central South University (CN)
- Beijing University of Chinese Medicine (CN)
- Peking University (CN)
- Royal Society of Tropical Medicine and Hygiene (GB)
- London School of Hygiene & Tropical Medicine (GB)
- Shandong Provincial Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-03-12
- DOI
- https://doi.org/10.2196/67744
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96