TY - GEN
T1 - Reconciliation of concurrently applied clinical practice guidelines using constraint logic programming
AU - Wilk, Szymon
AU - Michalowski, Martin
AU - Hing, Marisela Mainegra
AU - Michalowski, Wojtek
AU - Farion, Ken
PY - 2011
Y1 - 2011
N2 - This paper describes a novel methodological approach to reconciling points of contention (inconsistencies related to adverse and contradicting actions) when concurrently using multiple clinical practice guidelines (CPGs). The need to address these inconsistencies arises when a patient with comorbidity (the presence of one or more diseases in addition to a primary one) has to be managed according to different treatment regimens. We explain how to construct a formal guideline model using Constraint Logic Programming (CLP) and illustrate it with an example. We also present a procedure for mitigating points of contention that may arise when solving a constructed model given available patient information. The proposed procedure is conducted automatically and it employs mitigation operators that encapsulate clinical knowledge and define possible modifications to the model. The use of the mitigation procedure is demonstrated in a clinical scenario.
AB - This paper describes a novel methodological approach to reconciling points of contention (inconsistencies related to adverse and contradicting actions) when concurrently using multiple clinical practice guidelines (CPGs). The need to address these inconsistencies arises when a patient with comorbidity (the presence of one or more diseases in addition to a primary one) has to be managed according to different treatment regimens. We explain how to construct a formal guideline model using Constraint Logic Programming (CLP) and illustrate it with an example. We also present a procedure for mitigating points of contention that may arise when solving a constructed model given available patient information. The proposed procedure is conducted automatically and it employs mitigation operators that encapsulate clinical knowledge and define possible modifications to the model. The use of the mitigation procedure is demonstrated in a clinical scenario.
UR - http://www.scopus.com/inward/record.url?scp=84874472888&partnerID=8YFLogxK
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U2 - 10.1109/HIBIT.2011.6450805
DO - 10.1109/HIBIT.2011.6450805
M3 - Conference contribution
AN - SCOPUS:84874472888
SN - 9781450775342
T3 - Proceedings of the 6th International Symposium on Health Informatics and Bioinformatics, HIBIT 2011
SP - 33
EP - 40
BT - Proceedings of the 6th International Symposium on Health Informatics and Bioinformatics, HIBIT 2011
T2 - 6th International Symposium on Health Informatics and Bioinformatics, HIBIT 2011
Y2 - 2 May 2011 through 5 May 2011
ER -