大数据精准监管下医保监管智能管理系统的构建

Construction of Medical Insurance Supervision Intelligent Management System Under Big Data Precision Supervision

在医疗保障领域,随着大数据技术的快速发展,如何有效利用大数据技术对医疗保险进行精准监管,成为提升医保资金使用效率、防范医保风险的关键。传统的医保监管模式在数据处理能力、实时监控效率、预警机制等方面面临着诸多挑战。这些挑战限制了医保监管的效率和效果。文中通过分析医保监管的当前状况与挑战,提出了医保监管智能管理系统的设计理念和构建方法,包括系统架构设计、数据管理与处理、智能分析技术的应用,并在系统测试环节验证了系统设计的有效性,旨在为医保监管提供一种更为科学、精准的智能管理解决方案。

In the field of medical insurance,with the rapid development of big data technology,how to effectively use big data technology to accurately supervise medical insurance has become the key to improving the efficiency of medical insurance funds and preventing medical insurance risks.The traditional medical insurance supervision model faces many challenges in terms of data processing capabilities,real-time monitoring efficiency and early warning mechanism.These challenges limit the efficiency and effect of medical insurance supervision.By analyzing the current situation and challenges of medical insurance supervision,this paper proposes the design concept and construction method of the intelligent management system of medical insurance supervision,including system architecture design,data management and processing,and the application of intelligent analysis technology,and verifies the effectiveness of the system design in the system testing process,aiming to provide a more scientific and accurate intelligent management solution for medical insurance supervision.