IIAS: An Intelligent Insurance Assessment System through Online Real-time Conversation Analysis

IIAS: An Intelligent Insurance Assessment System through Online Real-time Conversation Analysis

Mengdi Zhou, Shuang Peng, Minghui Yang, Nan Li, Hongbin Wang, Li Qiao, Haitao Mi, Zujie Wen, Teng Xu, Lei Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Demo Track. Pages 5036-5039. https://doi.org/10.24963/ijcai.2021/721

With the development of Chinese medical insurance industry, the amount of claim cases is growing rapidly. Ultimately, more claims necessarily indicate that the insurance company has to spend much time assessing claims and decides how much compensation the claimant should receive, which is a highly professional process that involves many complex operations. Therefore, the insurance assessor's role is essential. However, for the junior assessor often lacking in practical experience, it is not easy to quickly handle such an online procedure. In order to alleviate assessors' cognitive workload, we propose an Intelligent Insurance Assessment System (IIAS) that helps effectively collect claimant information through online real-time conversation analysis. With the assistance of IIAS, the average time cost of the insurance assessment procedure is reduced from 55 minutes to 35 minutes.
Keywords:
Human-Computer Interaction: General
Natural Language Processing: General