A New Computerized Method to Verify and Disseminate Medical Appropriateness Criteria

  • Maojo V. 
  • Laita L. 
  • Roancs-Lozano E 
  • Crespo J. 
  • Rodriguez-Pedrosa J. 
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1933)

Abstract

In this article, we describe a new computerized method that we created, based on algebra, to check consistency in knowledge bases. We apply this method to sets of medical appropriateness criteria developed using the RANT) method. An example of criteria tables for coronary bypass WBS used to test the method. Different computer tools were developed to facilitate this logical validation. A JAVA program was also developed to display criteria tables in a flowchart format, using any WWW standard browser. Thus, appropriateness criteria can bc transformed into effectivc guidclines for medical practice.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Field M, Lohr K. (eds.). Guidelines for Clinical Practice (1992). National Academy Press, Washington, D.C.Google Scholar
  2. [2]
    Liem EB, Obeid JS, Shareck EP, Shato L, Greenes RA. Representation of clinical practice guidelines through an interactive World-Wide-Web interface. SCAMC (1995) 19:223–227.Google Scholar
  3. [3]
    Bernstein S J. (RAND): “Chairing an expert panel”. Invited conference. Institute of Health Carlos III (1994) Madrid.Google Scholar
  4. [4]
    Laita, L.; Roanes-Lozano; Ledesma, L.; Alonso, J. A Computer Algebra Approach to Vcrification and Dcduction in Many-Valucd Knowlcdge Systcms. Soft Computing 3 (1999), 7–19CrossRefGoogle Scholar
  5. [5]
    Maojo V; Herrero, C.; Valenzuela, F.; Crespo J, Lázaro P., and Pazos, A. A JAVA-based Multimedia Tool for Clinical Practice Guidelines. Proceedings of Medical Informatics Europe (1997) Porto Carras, Greece.Google Scholar
  6. [6]
    Capani A, Niesi G.“CoCoA User’s Manual Iv. 3.0b)”. (1996) Dept. de Matemáticas, Universidad de Génova,.Google Scholar
  7. [7]
    Buchanan, B., and Shortliffe, E.H. Rule-Based Expert Systems: the MYCIN Experiments of the Stanford Heuristic Programming Project (1984). Addison-Wesley, NY.Google Scholar
  8. [8]
    Shiffinan, R.N., and Greenes, R.A. Improving Clinical Guidclincs with Logic and Decision-Table Techniques: Application to Hepatitis Inmunization Recommendations. Medical Decision Making 14-3 (1994) 245–254.CrossRefGoogle Scholar
  9. [9]
    Corrcdor S. “Aplicación para la creación y verificación de sisremas de conocimienlo irrilizando lógica trivalenfe”. Unpublished Ltd. Dissertation (1997). Facultad de Informhtica, Universidad Politécnica de Madrid.Google Scholar
  10. [l0]
    Caja, D.; Rodriguez, J; and Maojo, V. Una herrainienta para la visualización. edición y verificación de la consistencia de criterios de us0 apropiado. Unpublished Ltd. Dissertation. (1998). Universidad Politecnica de Madrid.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Maojo V. 
    • 1
  • Laita L. 
    • 1
  • Roancs-Lozano E 
    • 2
  • Crespo J. 
    • 1
  • Rodriguez-Pedrosa J. 
    • 1
  1. 1.Artificial Intelligcncc Laboratoly and DcpartmentSchool of Computer Science. Univenidad Politecnica de MadridMadridSpain
  2. 2.Dept of AlgebraUniversidad Complutense de MadridMadrid

Personalised recommendations