Study protocol for a randomized controlled trial to evaluate the effectiveness of an artificial intelligence-based health education accurately linking system based on traditional Chinese medicine body constitution in patients with chronic disease multimorbidity
Qingqing Liu, Yuqi Yang, Yi Hu, Xiaohua Yang, Suxiang Liu, Rantong Bao, Yibo Wu

TL;DR
This study tests an AI-based health education system that uses Traditional Chinese Medicine to personalize lifestyle advice for people with multiple chronic diseases.
Contribution
The study introduces an AI system combining TCM constitution theory with modern technology for personalized chronic disease management.
Findings
The AI-HEALS system will be tested for its feasibility and preliminary efficacy in a randomized controlled trial.
The study will compare generalized and TCM-based AI interventions against standard care for chronic disease outcomes.
Changes in TCM constitution classification will be explored as an additional outcome.
Abstract
The prevalence of chronic disease multimorbidity among Chinese adults is high and presents a serious public health challenge. Personalized and accessible lifestyle interventions are key to improving long-term outcomes. Existing mobile health technologies often deliver generalized content, offering high accessibility but overlooking the potential of individualized interventions informed by Traditional Chinese Medicine (TCM) body constitution. TCM emphasizes identification of constitution types to develop more targeted and comprehensive personalized lifestyle guidance. Therefore, we developed the Artificial Intelligence–Health Education and Lifestyle Support system based on TCM body constitution (AI-HEALS) to explore its feasibility and assess its preliminary efficacy in improving clinical outcomes, enhancing self-management behaviors among patients with chronic disease multimorbidity.…
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Taxonomy
TopicsTraditional Chinese Medicine Studies · Machine Learning in Healthcare · Chronic Disease Management Strategies
