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Preferences of Patients With Tuberculosis for AI-Assisted Remote Health Management: Discrete Choice Experiment
Luo Xu1, Qian Fu1, Xiaojun Wang2
1School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Journal of Medical Internet Research
|September 26, 2025
Summary
Patients with tuberculosis prefer remote health services that include physician oversight and interactive care, rather than fully AI-driven models. Cost is a key factor, highlighting the need for affordable, hybrid AI and human-led management strategies.
Area of Science:
- Public Health
- Health Informatics
- Artificial Intelligence
Background:
- Tuberculosis (TB) is a significant global health issue, particularly in resource-limited areas, necessitating effective remote management.
- Artificial intelligence (AI) offers potential for improving TB care delivery and patient outcomes through remote health management.
- Limited research exists on patient preferences for AI-assisted TB management services.
Purpose of the Study:
- To investigate patient preferences for AI-assisted remote health management services among tuberculosis patients in China.
- To identify key service characteristics influencing patient choices in AI-assisted TB care.
Main Methods:
- A discrete choice experiment involving 203 TB patients in Hubei province, China.
- Attributes included interaction method, service provider, frequency, content, cost, and integration.
- Analysis used a mixed logit model to assess preferences and heterogeneity, with subgroup analyses for sociodemographic variations.
Main Results:
- All six attributes significantly impacted patient preferences (P < .05).
- Strong preferences were observed for physician oversight, video interactions, and comprehensive service content.
- Higher costs reduced service acceptance; cost remained a critical factor across all subgroups.
Conclusions:
- Patients with tuberculosis favor hybrid AI and human-integrated remote care models over fully automated AI services.
- Service design should prioritize affordability, physician involvement, and personalized, interactive care.
- Findings support developing AI-assisted TB management strategies that align with patient preferences for improved adherence in low-resource settings.
Keywords:
AIartificial intelligencediscrete choice experimentpatient preferenceremote health managementtuberculosisMore Related Videos
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