随着医保信息化的快速发展,高效处理海量医保数据成为信息化建设的重点之一。本文深入研究了KMP算法在医保领域的应用,详细阐述KMP算法的原理、工作流程及其在字符串匹配方面的优势,深入剖析其数学原理。通过案例实验数据展示及与传统算法的对比,论证了KMP算法在医保数据匹配、费用核算、欺诈监测等核心业务环节的实现原理与优势,从而为医保信息系统的高效运行和精准医疗服务提供了有力的技术支撑,助力医保信息化工作更加精准、高效地开展。

With the rapid development of medical insurance informatization, efficient processing of massive medical insurance data has become one focus of informatization construction. This article explores the application of KMP algorithm in the field of medical insurance, elaborating on the principles, workflow, and advantages of KMP algorithm in string matching, and analyzes its mathematical principles. Through case experiment data display and comparison with traditional algorithms, the implementation principles and advantages of KMP algorithm in core business processes such as medical insurance data matching, cost accounting, and fraud detection have been demonstrated, which provides strong technical support for the efficient operation of medical insurance information systems and precision medical services, and helps to carry out medical insurance informatization more accurately and efficiently.