Between Surveillance and Support: A Qualitative Study of Tuberculosis Patients’ Expectations and Concerns About AI-Assisted Remote Health Services in China
This study offers new insight into digital health engagement among an underserved population. It shows that TB patients do not passively receive AI interventions but interpret and evaluate them in light of their experiences and expectations. Designing acceptable AI-assisted systems requires sensitivity to patients' social contexts, emotional needs, and desire for agency in care.
Authors
- Qian Fu (ORCID: https://orcid.org/0000-0002-7126-2994)
- Luo Xu (ORCID: https://orcid.org/0000-0003-2004-023X)
- Xiaojun Wang (ORCID: https://orcid.org/0000-0002-9985-1627)
- Han Zhang (ORCID: https://orcid.org/0000-0003-4623-8623)
Institutions
- Jianghan University (CN)
- Wuhan Sixth Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Patient Preference and Adherence
- Published
- 2025-11-01
- DOI
- https://doi.org/10.2147/ppa.s546926
- Citations
- 1
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- National Natural Science Foundation of China