• DocumentCode
    2822619
  • Title

    Comparative Study of Medical Claim Scrubber And A Rule Based System

  • Author

    Umair, A. ; Mohammad, J.S. ; Aftab, A.

  • Author_Institution
    FUIEMS, Found. Univ., Islamabad, Pakistan
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Medical billing is a complex, dynamic, knowledge oriented process. To avoid claim rejections almost all of the leading companies with their business related to medical billing/medical claim processing provide some sort of claim scrubbing software tools. This research is a comparative study of two claim scrubbing tools developed at a USA based medical billing company. Although both the tools have same purpose of medical claim scrubbing but their implementation methodology is different. One is conventional software based on stored procedures and functions; we name it simply ´medical claim scrubber´. And other has been developed using rule based systems concepts; so we name it ´A rule based system´. This paper presents strong and weak points of both the tools. A new hybrid design has also been proposed, which combines both of them. Currently this hybrid architecture has been proposed for medical billing domain, but it can be applied to virtually any domain of real life where complex, dynamic, knowledge oriented edits are required to be implemented.
  • Keywords
    knowledge based systems; medical information systems; software tools; USA based medical billing company; artificial intelligence; claim scrubbing software tool; knowledge oriented process; medical claim processing; medical claim scrubber; rule based system; Application software; Artificial intelligence; Companies; Computer errors; Information technology; Knowledge based systems; Knowledge engineering; Medical diagnostic imaging; Medical services; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5363668
  • Filename
    5363668