An Intelligent Data Mining System to Detect Healthcare Fraud

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Author(s): Giusseppi A. Forgionne (University of Maryland-Baltimore County, USA), Aryya Gangopadhyay (University of Maryland-Baltimore County, USA)and Monica Adya (University of Maryland-Baltimore County, USA)
Copyright: 2002
Pages: 21
Source title: Effective Healthcare Information Systems
Source Author(s)/Editor(s): Adi Armoni (Tel Aviv University, Israel)
DOI: 10.4018/978-1-931777-01-8.ch005

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

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Abstract

The chapter begins with an overview of the types of healthcare fraud. Next, there is a brief discussion of issues with the current fraud detection approaches. The chapter then develops information technology based approaches and illustrates how these technologies can improve current practice. Finally, there is a summary of the major findings and the implications for healthcare practice.

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An Intelligent Data Mining System to Detect Healthcare Fraud

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