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KDD 2025Applied Data Science Track

AntAkso: Claims Management System for Health Insurance in Alipay

Qitao Shi, Jun Zhou 0011, Ya-Lin Zhang 0001, Longfei Li, Chaoyi Ma, Yifan Wu 0020, Xiaobo Qin

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3690624.3709398 ↗

摘要

The rapid growth of health insurance and the rising incidence of fraudulent claims underscore the necessity for an efficient and professional claims management system. However, there is a noticeable lack of shared relevant experience from previous research in this field. In response to this challenge, we introduce AntAkso, a robust claims management system specifically designed for health insurance operations within Alipay. AntAkso incorporates a digital and professional management system, achieving a notable decrease in the volume of false claims, reduction in administrative costs, and heightened satisfaction among its policyholders. We begin by highlighting the core components of this system, including the case stratification, hospital recommendation, and case dispatch modules, along with the pivotal algorithms employed, i.e., the fraud detection, recommendation, and robust satisficing algorithms. We also detail the system's implementation and deployment. We substantiate the proposed system's effectiveness and efficiency with empirical evidence from experiments on a large set of real-world health insurance claims data.