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A Multi-Line Insurance Fraud Recognition System: A Government-Led Approach in Korea
Authors:Hunsoo Kim  W. Jean Kwon
Affiliation:Hunsoo Kim is an associate professor of finance and insurance at SoonChunHyang University, Korea. W. Jean Kwon is an associate professor of risk and insurance at the School of Risk Management, St. John's University, 101 Murray Street, NY, NY;USA. Phone: (212) 277-5196;fax: (212) 277-5199;e-mail . This research is funded by SoonChunHyang University .
Abstract:This article introduces a government-led insurance fraud detection program in Korea. The Insurance Fraud Recognition System (IFRS) uses policy and claims data from multi-lines of insurance (life, automobile, and fire), employs a three-stage statistical and link analysis to identify presumably fraudulent claims by claimant or by group, and generates system reports that the government regulator draws on to make decisions. The authors evaluate the system based on the fraud statistics and IFRS results for 2004, and offer recommendations for system improvement. This article examines existing studies about fraud, industry experiments using advanced technology, and government assistance to the insurance industry's fight against fraud in selected countries. It also provides a brief overview of the Korean insurance market, especially after the recent Asian economic crisis.
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