The Role of Model Checking in Critiquing based on Clinical Guidelines

Perry Groot
Frank van Harmelen
Arjen Hommersom
Peter Lucas
Radu Serban
Annette ten Teije

Medical critiquing systems criticise clinical actions performed by a physician. In order to provide useful feedback, an important task is to find differences between the actual actions and a set of `ideal' actions as described by a clinical guideline. In case differences exist, insight to which extent they are compatible is provided by the critiquing system. We propose a methodology for such critiquing, where the ideal actions are given by a formal model of a clinical guideline, and where the actual actions are derived from real world patient data. We employ model checking to investigate whether a part of the actual treatment is consistent with the guideline. Furthermore, it is shown how critiquing can be cast in terms of temporal logic, and what can be achieved by using model checking. The methodology has been applied to a clinical guideline of breast cancer in conjunction with breast cancer patient data.

(PDF paper, 120Kb) 

@InProceedings{AIME07,
  author =       "Perry Groot and Frank van Harmelen and Arjen Hommersom and
                  Peter Lucas and Radu Serban and Annette ten Teije",
  title =        "The Role of Model Checking in Critiquing based
                  on Clinical Guidelines ",
  booktitle =    "Proceedings of the Eleventh European Conference on Artificial
                  Intelligence in Medicine (AIME'07)",
  year =         2007,
  pages     = {411-420},
  publisher =    "Springer Verlag",
  series =       "LNAI",
  volume =       yyy,
  keywords = {Medical Knowledge Representation},
  urlPaper = "http://www.cs.vu.nl/~frankh/postscript/AIME07.pdf"
}
Copyright © Springer Verlag 2007

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