Big data analytics on disease patterns and antibiotic consumption trends in Vietnam, 2024 - 2025

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CÁC SỐ TỪ 2011-2023
Tạp chí Y Dược Học

Abstract

Background: Vietnam is confronting a dual burden of disease alongside alarming rates of antimicrobial resistance (AMR), which accounts for an estimated 70,000 annual deaths. The digital health revolution has generated a massive Big Data ecosystem, comprising over 34 million electronic health records across 1,210 hospitals. Methods: This study performed a systematic review and secondary data analysis using the WHO GLASS 2025 report, Ministry of Health statistics, and health insurance verification data from the 2024-2025 period. Results: Non-communicable diseases (NCDs) represent 84% of total mortality, while a resurgence in infectious diseases has been observed. Southeast Asia exhibits the highest global average resistance rate at 31.1%. In Vietnam, resistance to 3rd-generation cephalosporins in E. coli and K. pneumoniae ranges from 55% to over 70%. Carbapenem resistance is increasing at an annual rate of 12 - 15% regionally. Conclusion: Big Data analytics within the national healthcare system serves as a critical instrument for developing effective Antimicrobial Stewardship (AMS) strategies, enabling real-time surveillance and precision clinical decision support.
https://doi.org/10.34071/jmp.2026.S-1.9
Published 2026-06-18
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Issue Vol. 16 No. S-1 (2026)
Section Original Articles
DOI 10.34071/jmp.2026.S-1.9
Keywords Kháng kháng sinh (AMR), mô hình bệnh tật, dữ liệu lớn (Big Data), quản lý sử dụng kháng sinh Antimicrobial Resistance (AMR), disease patterns, Big Data, Antimicrobial Stewardship (AMS)

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Copyright (c) 2026 Hue Journal of Medicine and Pharmacy

Toan, T. K., & Binh, T. D. (2026). Big data analytics on disease patterns and antibiotic consumption trends in Vietnam, 2024 - 2025. Hue Journal of Medicine and Pharmacy, 16(S-1), 84–89. https://doi.org/10.34071/jmp.2026.S-1.9