Research on Risk Management of Medical Data Interaction Based on Intelligent Monitoring Platform

Corresponding author: wangliping, 1398995884@qq.com

DOI: 10.12201/bmr.202506.00069

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  Abstract: Purpose/Significance This study focuses on the construction of an intelligent risk monitoring platform for medical institutions in API data interaction scenarios, identify high-risk vulnerabilities, prevent data leakage, and strengthen data exchange security. Method/Process Using Data Plane Development Kit technology to achieve bypass flow analysis and real-time monitoring of the access behavior of a tertiary comprehensive hospitals business system. Establish a multidimensional risk assessment model based on top 10 API security vulnerabilities published by OWASP, combined with daily data security operations, building a Analysis Monitoring Evaluation Traceability Data Interaction Security Guarantee System. Result/Conclusion The hospital has carried out special rectification for API security vulnerabilities, data leakage risks, web attack risks, and account security risks detected by the platform, avoiding the occurrence of data leaks and improving the hospitals data interaction monitoring level and security protection capabilities.

  Key words: API ；Risk Monitor；Risk Assessment Model；Bypass flow analysis

  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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  1	2025-04-03	bmr.202506.00069V1	Download

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