Diet-Related Health Recommender Systems for Patients With Chronic Health Conditions: Scoping Review

Diet-related HRSs have the potential to deliver personalized dietary support for patients with chronic diseases, but current systems show key gaps. Future development must adopt user-centered design, provide practical and actionable dietary guidance, and use hybrid recommendation techniques to increase precision and clinical relevance. Standardized evaluation methods and real-world, long-term studies are essential to evaluate the impact of diet-related HRSs on dietary behavior and health outcomes. Addressing these needs will enable diet-related HRSs to become reliable tools for chronic disease management and patient-centered care.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-01-14
DOI
https://doi.org/10.2196/77726
Primary Topic
Mobile Health and mHealth Applications
Type
article
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article

Diet-Related Health Recommender Systems for Patients With Chronic Health Conditions: Scoping Review

Jingting Wang, Anni Pakarinen, Hao Niu, Zhuting Zheng et al.
Journal of Medical Internet Research
Mobile Health and mHealth Applications
article

Diet-Related Health Recommender Systems for Patients With Chronic Health Conditions: Scoping Review

Jingting Wang, Anni Pakarinen, Hao Niu, Zhuting Zheng, Bei Yun, Tian Jin, Changrong Yuan, Xiaolan Dong
article en

Abstract

Diet-related HRSs have the potential to deliver personalized dietary support for patients with chronic diseases, but current systems show key gaps. Future development must adopt user-centered design, provide practical and actionable dietary guidance, and use hybrid recommendation techniques to increase precision and clinical relevance. Standardized evaluation methods and real-world, long-term studies are essential to evaluate the impact of diet-related HRSs on dietary behavior and health outcomes. Addressing these needs will enable diet-related HRSs to become reliable tools for chronic disease management and patient-centered care.

Journal of Medical Internet ResearchVol. 28
University of Turku (FI), Universitat de Lleida (ES), Second Military Medical University (CN), Fudan University (CN)
Openalex Percentile: Top 88%
Mobile Health and mHealth Applications
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Diet-Related Health Recommender Systems for Patients With Chronic Health Conditions: Scoping Review — Jingting Wang, Anni Pakarinen, et al. · Journal of Medical Internet Research (2026) | TGRS Research Map | TGRS