The Construction and Practical Application of Regional Chronic Disease Surveillance Management Information Platform Based on Medical Big Data

Corresponding author: Ding Xianbin, 784702780@qq.com

DOI: 10.12201/bmr.202506.00071

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  Abstract: Purpose/Significance Leveraging multi-source chronic disease medical data to build a regional chronic disease management information platform, constructing a comprehensive data view of chronic disease patients and enabling whole-process management, thereby fully enhancing the quality and efficiency of regional chronic disease monitoring and enabling high-efficacy prevention and control. Method/Process The platform automatically collects multi-source data related to chronic diseases—including medical data, public health data, and health records-from various institutions such as healthcare facilities at all levels, public health agencies, and administrative departments. After cleaning and processing, the data is stored in an intermediate database.Using big data analytic, the platform constructs a comprehensive patient data view, early-warning and monitoring models, and hierarchical diagnosis and treatment rules. Key functionalities include:Intelligent healthcare-public health collaborative monitoring、Chronic disease case reporting、Screening and intervention for chronic diseases、Comprehensive patient data profiling and whole-process management、Dynamic monitoring and evaluation.Result/Conclusion Practical applications demonstrate that the patient-centered panoramic data approach upgrades chronic disease management from standardized population-based care to personalized precision prevention and control. By analyzing regional medical visit data and disease distribution patterns, the platform optimizes healthcare resource allocation and identifies high-risk patients requiring referrals, thereby facilitating the implementation of hierarchical diagnosis and treatment.This platform significantly improves the efficiency and accuracy of chronic disease monitoring and management, providing robust support for regional chronic disease prevention and control as well as scientific research.

  Key words: Medical Big Data; Chronic Disease Management; Information Platform; Intelligent Surveillance; 。

  Submit time: 24 June 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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