Document Type
Contribution to Book
Language
eng
Format of Original
22 p.
Publication Date
2000
Publisher
IGI Global
Source Publication
Healthcare Information Systems: Challenges of the New Millennium
Source ISSN
9781930708556
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.
Recommended Citation
Forgionne, Guisseppi A.; Gangopadhyay, Aryya; and Adya, Monica, "An Intelligent Data Mining System to Detect Health Care Fraud" (2000). Management Faculty Research and Publications. 81.
https://epublications.marquette.edu/mgmt_fac/81
Comments
Published version. "An Intelligent Data Mining System to Detect Health Care Fraud," in Healthcare Information Systems: Challenges of the New Millennium. Ed. Adi Armoni. Hershey PA: IGI Global, 2000: 148-169. Publisher Link. © 2000 IGI Global. Used with permission.
Monica Adya was affiliated with the University of Maryland Baltimore County at the time of publication.