This paper constructs a health behavior intervention model for type 2 diabetes mellitus (T2DM), which integrates telemedicine and individual behavior data, in order to explore the path mechanism of improving patients' health behavior. As a chronic disease that requires lifelong management, T2DM not only relies on short-term diagnosis and treatment, but also requires patients to adhere to long-term blood glucose monitoring and self-management. With the rapid development of network technology and big data artificial intelligence (AI), intelligent health management methods are gradually being applied in the medical field. This study proposes an AI based intervention model that dynamically monitors patients' daily behavior data, combined with remote medical services, to achieve personalized guidance and real-time feedback, thereby enhancing patients' self-management awareness and health behavior compliance. The research results indicate that the system can effectively improve the metabolic control level of T2DM patients, promote blood glucose stability, and significantly improve their quality of life. This study provides theoretical basis and practical support for promoting precise and personalized chronic disease management models.

Zixi Yao. Pathway Mechanism Modelling of Health Behaviour Change in Type 2 Diabetes via Telehealth and Individual Behavioural Data. Academic Journal of Medicine & Health Sciences (2025), Vol. 6, Issue 8: 131-136. https://doi.org/10.25236/AJMHS.2025.060817.

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