Auditing health insurance reimbursement by constructing association rules

I-Jen Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Two months of reimbursement claim data of the admission patients from National Taiwan University Hospital have been used to be the training set (200 MB or so), a quick method has been used to find out the association rules among the illness, the examinations and treatments, the drugs, and the equipment. The filtered rules by setting the minimum support and the minimum confidence are used to screen out a month claimed data from the other hospital. Some unproper orders to the patients are able to checked out. In this paper, we will discuss the algorithm for generalizing association rules and the experiments of using the association rules to screen out the unproper orders in the health reimbursement claims.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Pages130-137
Number of pages8
Volume4057
Publication statusPublished - 2000
EventData Mining and Knowledge Discovery: Theory, Tools, and Technology II - Orlando, FL, USA
Duration: Apr 24 2000Apr 25 2000

Other

OtherData Mining and Knowledge Discovery: Theory, Tools, and Technology II
CityOrlando, FL, USA
Period4/24/004/25/00

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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  • Cite this

    Chiang, I-J. (2000). Auditing health insurance reimbursement by constructing association rules. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4057, pp. 130-137). SPIE.