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Food Choice, Markets and Policy (Poster Session)

(P08-013-24) Blockchain-Based Personal Health Record Management and Dietary Recommendation System

Sunday, June 30, 2024
11:45 AM – 12:45 PM CT
Location: Poster Board 235

    Presenting Author(s)

  • Chien-Yeh Hsu, PhD

    Professor and Chair of the department of Information Management
    National Taipei University of Nursing and Health Sciences
    Taipei, Taipei, Taiwan (Republic of China)

    • Co-Author(s)

  • Jane C.-J Chao, PhD

    Professor and Dean
    Taipei Medical University
    Taipei, Taipei, Taiwan (Republic of China)

  • HL

    Hsiu-An Lee

    National Health Research Institutes-The National Institute of Cancer Research, Taiwan (Republic of China)

  • CL

    Chen-Yi Liu

    National Taipei University of Nursing and Health Sciences, Taiwan (Republic of China)

  • SH

    Shih-Wun Huang

    National Taipei University of Nursing and Health Sciences, Taiwan (Republic of China)

Disclosure(s):
Chien-Yeh Hsu, PhD: No relevant financial relationship(s) with ineligible companies to disclose.
Jane C.-J Chao, PhD: No relevant financial relationship(s) with ineligible companies to disclose.


Objectives: According to the results of the Nutrition and Health Survey in Taiwan (NAHSIT) by the Health Promotion Administration, Ministry of Health and Welfare (HPA) in Taiwan, some dietary and nutritional habits of residents are below national guidelines. The Ministry of Health and Welfare (MOHW) has announced that nearly 70% of the diseases among the Top 10 Causes of Death in 2022 are closely related to dietary factors. This study integrates blockchain technology, standardized medical data formats, and Personal Health Records (PHRs) to establish a nutritional data analysis and dietary recommendation module based on individual health records and recorded dietary information. The design aims to create a personalized dietary recommendation system with traceable information access records and data interoperability.

Methods: Based on the Top 10 Causes of Death in 2022, particularly those associated with nutrition-induced obesity leading to relevant non-communicable chronic diseases (NCD), we collect dietary recommendations and establish a database of recommended food items. The system accesses the disease history, food allergens, and physiological measurement record in the HL7/FHIR standard PHR that serves as the basis for disease-specific dietary recommendations and preventive dietary suggestions. In addition, the system uses blockchain technology to record access to PHRs ensure the accessibility of data access, and verify the authenticity of the data by comparing the corresponding data hash values.

Results: The system established in this study calculates the user's dietary reference intake (DRI) and combines the previously recorded dietary information to exclude diseases and risk factors from the personal health record provide personalized dietary recommendations, helping users better understand their nutritional intake and ways to supplement deficient nutrients.

Conclusions: Personalized nutrition based on personal health records can provide dietary intake that is more suitable for personal health and reduce the risk and deaths caused by NCD. The International Medical Information Standard of FHIR enhances information access and improves system interoperability. Blockchain technology enhances the transparency and traceability of data access.

Funding Sources: NSTC Project No. 110-2221-E-227 -003 -MY3
NSTC Project No. 113-2923-E-227 -001 -MY3