基于人工智能的理赔材料处理方法及计算机设备
By using artificial intelligence for grouping and field extraction, the problem of identification errors caused by differences in the format of claims materials was solved, achieving standardization of materials and proactive risk interception, thereby improving the accuracy and efficiency of claims review.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI ZHONGAN XINKE INFORMATION TECH SERVICES CO LTD
- Filing Date
- 2026-06-15
- Publication Date
- 2026-07-17
AI Technical Summary
In insurance claims processing, the sources of claims materials are diverse, their formats vary greatly, and their content is inconsistent, leading to incorrect judgments in the early material identification stage and affecting the accuracy of subsequent reviews.
By using artificial intelligence-based methods, the characteristics of claim materials are obtained, grouped, and processed independently through processing channels. Key fields are extracted, and target extraction fields are determined through alias fields and scenario information. Format standardization and multi-dimensional verification are then performed to intercept high-risk cases.
It improved the accuracy and efficiency of claims processing, reduced the risk of errors in automatic review, and lowered the cost of manual review.
Smart Images
Figure CN122415237A_ABST