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Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud.

Ormerod, Thomas C. and Morley, Nicola J. and Ball, Linden J. and Langley, Charles and Spenser, Clive (2003) Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud. In: CHI 2003: New Horizons Extended Abstracts. ACM Press, New York.

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Abstract

We describe a Mass Detection Tool (MDT) for early detection of insurance fraud. Ethnography was used to specify needs and process, capture expertise, and design an interface for triggering fraud indicators while capturing unexpected anomalies detected by claims handlers. The MDT uses a dynamic Bayesian Belief Network of fraud indicators, whose weights are determined by how predictive each indicator is of specific types of fraud. The system uses automated knowledge updating to keep pace with dynamically changing fraud, adding new indicators that emerge from patterns of repeated anomalies.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: Ethnography ; Bayesian belief networks ; Insurance ; Fraud detection ; Automated knowledge updating.
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Departments: Faculty of Science and Technology > Psychology
ID Code: 11133
Deposited By: Dr Linden J. Ball
Deposited On: 01 Aug 2008 13:45
Refereed?: No
Published?: Published
Last Modified: 17 Sep 2013 18:02
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/11133

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