This study explores the design and implementation of a globally leading AI-driven comprehensive health management platform. Addressing global health challenges, the platform integrates multi-source data from wearable devices and electronic health records to enable real-time risk prediction for chronic diseases. Key innovations include 89% accuracy in forecasting stroke risk, reduced data processing latency to 0.8 seconds, and increased medication adherence by 40%. The platform also demonstrated significant scalability, handling 120,000 concurrent consultations during COVID-19 outbreaks. Privacy protection mechanisms decreased unauthorized access attempts by 78%. Regional disparities and user adoption barriers remain, but the platform's multilingual interface and simplified design have shown promise. The platform's impact extends to improved public health literacy, optimized resource allocation, and enhanced personalized care. These findings contribute to global health management by offering scalable, AI-driven solutions for diverse healthcare challenges.

Liyun Huang, Zhongmeng Wei, Hongxiao Lu, Chundan Yang, Caiji Feng, Jian Huang. The Design of a Globally Leading Comprehensive Health Management Medical Platform Based on AI. Frontiers in Medical Science Research (2025), Vol. 7, Issue 5: 49-68. https://doi.org/10.25236/FMSR.2025.070507.

[1] Xiong, Shangzhi, et al. Factors associated with the uptake of national essential public health service package for hypertension and type-2 diabetes management in China's primary health care system: a mixed-methods study. The Lancet Regional Health–Western Pacific, 31 (2023).

[2] Ni, Xin, et al. Socioeconomic inequalities in cancer incidence and access to health services among children and adolescents in China: a cross-sectional study. The Lancet, 400.10357 (2022): 1020-1032.

[3] Ye, Qing, et al. Rates of intravenous thrombolysis and endovascular therapy for acute ischaemic stroke in China between 2019 and 2020. The Lancet Regional Health–Western Pacific, 21 (2022).

[4] Lee, Ching-Hung, et al. A digital transformation-enabled framework and strategies for public health risk response and governance: China's experience. Industrial Management & Data Systems, 123.1 (2022): 133-154.

[5] Zheng, Ruizhi, et al. Pan‐risk factor for a comprehensive cardiovascular health management. Journal of Diabetes, 14.3 (2022): 179-191.

[6] Wang, Miye, et al. Big data health care platform with multisource heterogeneous data integration and massive high-dimensional data governance for large hospitals: design, development, and application. JMIR Medical Informatics, 10.4 (2022): e36481.

[7] Li, Linjie, et al. Clinical characteristics and in-hospital management strategies in patients with acute coronary syndrome: results from 2,096 accredited Chest Pain Centers in China from 2016 to 2021. Cardiology Plus, 7.4 (2022): 192-199.

[8] Liu, Siqi, et al. Current status and influencing factors of digital health literacy among community-dwelling older adults in Southwest China: a cross-sectional study. BMC Public Health, 22.1 (2022): 996.

[9] Jiang, Qiwen, et al. Budgetary participation and organizational performance in Chinese public hospitals: facilitation or inhibition? Frontiers in Public Health, 13 (2025): 1601181.

[10] Shahzad, Muhammad Farrukh, et al. Investigating the impact of artificial intelligence on human resource functions in the health sector of China: A mediated moderation model. Heliyon, 9.11 (2023).

[11] Bouamrane M M , Mcgee-Lennon M R , Brewster S ,et al.Using process-mapping to design integrated health information management systems[C]//International Symposium on Computer-based Medical Systems.IEEE, 2011.DOI:10.1109/CBMS.2011.5999127.

[12] Wang, Chao, et al. Privacy protection in using artificial intelligence for healthcare: Chinese regulation in comparative perspective. Healthcare. Vol. 10. No. 10. MDPI, 2022.

[13] Ren, Rujing, et al. The China alzheimer report 2022. General psychiatry, 35.1 (2022): e100751.

[14] Yu, Gang, et al. Improving chronic disease management for children with knowledge graphs and artificial intelligence. Expert Systems with Applications, 201 (2022): 117026.

[15] Gao, Jinghong, et al. Telemedicine is becoming an increasingly popular way to resolve the unequal distribution of healthcare resources: evidence from China. Frontiers in public health, 10 (2022): 916303.

[16] Ma F , Thelma P .Design and development of home health monitoring system based on intelligent robot platform[J].Proceedings of SPIE, 2024, 13080(000):6.DOI:10.1117/12.3026074.

[17] Ge, Fangmin, et al. Experiences and challenges of emerging online health services combating COVID-19 in China: retrospective, cross-sectional study of internet hospitals. JMIR Medical Informatics, 10.6 (2022): e37042.

[18] Li, Jiaxuan, et al. Changes in doctor–patient relationships in China during COVID-19: a text mining analysis. International Journal of Environmental Research and Public Health, 19.20 (2022): 13446.

[19] Li, Dacan, et al. An exploratory study on the design and management model of traditional Chinese medicine quality safety traceability system based on blockchain technology. Security and Communication Networks, 2022.1 (2022): 7011145.

[20] Fan, Yanyan, et al. The function and quality of individual epidemic prevention and control apps during the COVID-19 pandemic: A systematic review of Chinese apps. International journal of medical informatics, 160 (2022): 104694.

[21] Li, Rui, Jiaxin Shao, and Duanyang Gao. The impact of digital literacy on the health behavior of rural older adults: evidence from China. BMC Public Health, 25.1 (2025): 919.

[22] Abdul, Samira, et al. Mental health management in healthcare organizations: Challenges and strategies-a review. International Medical Science Research Journal, 4.5 (2024): 585-605.

[23] Jakovljevic, Mihajlo, et al. Successes and challenges of China’s health care reform: a four-decade perspective spanning 1985—2023. Cost Effectiveness and Resource Allocation, 21.1 (2023): 59.

[24] Tu, Wen-Jun, and Long-De Wang. China stroke surveillance report 2021. Military Medical Research, 10.1 (2023): 33.

[25] Li, Dan, et al. Scientific research competitiveness in hospitals: a narrative review of major hospital ranking systems in China. Health Science Reports, 5.3 (2022): e583.

[26] Cai, Chang, et al. Health and health system impacts of China’s comprehensive primary healthcare reforms: a systematic review. Health Policy and Planning, 38.9 (2023): 1064-1078.

[27] Xu, Duo, et al. Understanding online dual practice of public hospital doctors in China: a mixed-methods study. Health policy and planning, 37.4 (2022): 440-451.

[28] Yang, Feng, et al. What Key Factors Affect Patient Satisfaction on Online Medical Consultation Platforms? A Case Study from China. Healthcare. Vol. 13. No. 5. MDPI, 2025.

[29] Sun, Li, et al. Artificial intelligence for healthcare and medical education: a systematic review. American journal of translational research, 15.7 (2023): 4820.

[30] Wang, Haishuai, et al. A comprehensive review of artificial intelligence in prevention and treatment of COVID-19 pandemic. Frontiers in Genetics, 13 (2022): 845305.

[31] Li, Wenjia, et al. Determinants of intention with remote health management service among urban older adults: A Unified Theory of Acceptance and Use of Technology perspective. Frontiers in Public Health 11, (2023): 1117518.

[32] Wu, Haitao, et al. The impact of internet development on the health of Chinese residents: transmission mechanisms and empirical tests. Socio-Economic Planning Sciences 81, (2022): 101178.

[33] Birati, Yosefa, et al. Cultural and digital health literacy appropriateness of app-and web-based systems designed for pregnant women with gestational diabetes mellitus: scoping review. Journal of Medical Internet Research, 24.10 (2022): e37844.

[34] Ye, Jiancheng, Lu He, and Molly Beestrum. Implications for implementation and adoption of telehealth in developing countries: a systematic review of China’s practices and experiences. NPJ Digital Medicine, 6.1 (2023): 174.

[35] Dion, Helen, and Martin Evans. Strategic frameworks for sustainability and corporate governance in healthcare facilities; approaches to energy-efficient hospital management. Benchmarking: An International Journal, 31.2 (2024): 353-390.

[36] Cozzoli, Nicola, et al. How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review. BMC health services research, 22.1 (2022): 809.

[37] Yu, Yang, Sufen Wang, and Lijue You. Understanding the Integrated Health Management System Policy in China From Multiple Perspectives: Systematic Review and Content Analysis. Journal of Medical Internet Research, 26 (2024): e47197.