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Using First-Order Logic to Represent Clinical Practice Guidelines and to Mitigate Adverse Interactions

  • Szymon WilkEmail author
  • Martin Michalowski
  • Xing Tan
  • Wojtek Michalowski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8903)

Abstract

Clinical practice guidelines (CPGs) were originally designed to help with evidence-based management of a single disease and such single disease focus has impacted research on CPG computerization. This computerization is mostly concerned with supporting different representation formats and identifying potential inconsistencies in the definitions of CPGs. However, one of the biggest challenges facing physicians is the application of multiple CPGs to comorbid patients. While various research initiatives propose ways of mitigating adverse interactions in concurrently applied CPGs, there are no attempts to develop a generalized framework for mitigation that captures generic characteristics of the problem, while handling nuances such as precedence relationships. In this paper we present our research towards developing a mitigation framework that relies on a first-order logic-based representation and related theorem proving and model finding techniques. The application of the proposed framework is illustrated with a simple clinical example.

Keywords

Duodenal Ulcer Clinical Practice Guideline Combine Therapy Theorem Prove Predicate Symbol 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

The last two authors were supported by grants from the Natural Sciences and Engineering Research Council of Canada (Collaborative Health Research Program) and Telfer School of Management Research Support Program. This research was conducted when Dr. Tan was a postdoctoral fellow with MET Research Group at the University of Ottawa.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Szymon Wilk
    • 1
    Email author
  • Martin Michalowski
    • 2
  • Xing Tan
    • 3
  • Wojtek Michalowski
    • 3
  1. 1.Institute of Computing SciencePoznan University of TechnologyPoznanPoland
  2. 2.Adventium LabsMinneapolisUSA
  3. 3.Telfer School of ManagementUniversity of OttawaOttawaCanada

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