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research-article

Medicaid fraud detection using data broker services

Published: 01 March 2012 Publication History

Abstract

In this paper, we propose an integrated architecture to detect Medicaid fraud at the time of application approval process. This architecture takes the advantages of several public databases available through different government or private organizations. These databases are used to verify applicant's information and discover any undeclared assets. We also propose a customizable weighting scheme to determine eligibility for Medicaid services.

References

[1]
Fraud Detection Systems: Centers for Medicare and Medicaid Services Needs to ensure More Widespread Use. http://www.gao.gov/new.items/d11475.pdf.
[2]
http://www.knowx.com
[3]
http://www.lexisnexis.com

Cited By

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  • (2014)Data driven implementation to filter fraudulent medicaid applicationsIEEE SOUTHEASTCON 201410.1109/SECON.2014.6950652(1-8)Online publication date: Mar-2014
  • (2013)A generic data driven approach for Medicaid fraud detectionProceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems10.1145/2536146.2536182(233-234)Online publication date: 28-Oct-2013

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Information & Contributors

Information

Published In

cover image ACM SIGHIT Record
ACM SIGHIT Record  Volume 2, Issue 1
March 2012
27 pages
EISSN:2158-8813
DOI:10.1145/2180796
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 2012
Published in SIGHIT Volume 2, Issue 1

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Cited By

View all
  • (2014)Data driven implementation to filter fraudulent medicaid applicationsIEEE SOUTHEASTCON 201410.1109/SECON.2014.6950652(1-8)Online publication date: Mar-2014
  • (2013)A generic data driven approach for Medicaid fraud detectionProceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems10.1145/2536146.2536182(233-234)Online publication date: 28-Oct-2013

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