Improving tuberculosis-related knowledge in tuberculosis patients: Protocol for the development and validation of an evidence-based Q&A robot powered by large language models

We are the first study in China to apply LLMs to tuberculosis health education. Tailored specifically for TB, our model uses certified guidelines and expert consensus to minimize inaccuracies. Large language models provide access to personalized, private health information, and reducing stigma. Instead of creating a new platform, we use the popular WeChat platform to deliver education via videos, text, and images, enhancing accessibility and engagement. This innovative approach aims to improve patient adherence and contribute to better TB management and disease control outcomes.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251384143
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving tuberculosis-related knowledge in tuberculosis patients: Protocol for the development and validation of an evidence-based Q&A robot powered by large language models

Xiufen Wang, Guobao Li, Dong Xu, Wenjun He et al.
Digital Health
Tuberculosis Research and Epidemiology
article

Improving tuberculosis-related knowledge in tuberculosis patients: Protocol for the development and validation of an evidence-based Q&A robot powered by large language models

Xiufen Wang, Guobao Li, Dong Xu, Wenjun He, Xue Li, Lanping Zhang, J.Y. Chang
article en

Abstract

We are the first study in China to apply LLMs to tuberculosis health education. Tailored specifically for TB, our model uses certified guidelines and expert consensus to minimize inaccuracies. Large language models provide access to personalized, private health information, and reducing stigma. Instead of creating a new platform, we use the popular WeChat platform to deliver education via videos, text, and images, enhancing accessibility and engagement. This innovative approach aims to improve patient adherence and contribute to better TB management and disease control outcomes.

Digital HealthVol. 11
World Health Organization - Pakistan (PK), Shenzhen Third People’s Hospital (CN), Southern Medical University (CN)
Openalex Percentile: Top 67%
Tuberculosis Research and Epidemiology
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