TY - GEN
T1 - Temporal detection of guideline interactions
AU - Piovesan, Luca
AU - Anselma, Luca
AU - Terenziani, Paolo
PY - 2015
Y1 - 2015
N2 - Clinical practice guidelines are widely used to support physicians, but only on individual pathologies. On the other hand, the treatment of patients affected by multiple diseases is one of the main challenges for the modern healthcare. This requires the development of new methodologies, supporting physicians in the detection of interactions between guidelines. In a previous work, we proposed a flexible and user-driven approach, helping physicians in the detection of possible interactions between guidelines, supporting focusing and analysis at multiple levels of abstractions. However, it did not cope with the fact that interactions occur in time. For instance, the effects of two actions may potentially conflict, but practical conflicts happen only if such effects overlap in time. In this paper, we extend the ontological model to deal with the temporal aspects, and the detection algorithms to cope with them. Different types of facilities are provided to physicians, supporting the analysis of interactions between both guidelines "per se", and the concrete application of guidelines to specific patients. In both cases, different temporal facilities are provided to user physicians, based on Artificial Intelligence temporal reasoning techniques.
AB - Clinical practice guidelines are widely used to support physicians, but only on individual pathologies. On the other hand, the treatment of patients affected by multiple diseases is one of the main challenges for the modern healthcare. This requires the development of new methodologies, supporting physicians in the detection of interactions between guidelines. In a previous work, we proposed a flexible and user-driven approach, helping physicians in the detection of possible interactions between guidelines, supporting focusing and analysis at multiple levels of abstractions. However, it did not cope with the fact that interactions occur in time. For instance, the effects of two actions may potentially conflict, but practical conflicts happen only if such effects overlap in time. In this paper, we extend the ontological model to deal with the temporal aspects, and the detection algorithms to cope with them. Different types of facilities are provided to physicians, supporting the analysis of interactions between both guidelines "per se", and the concrete application of guidelines to specific patients. In both cases, different temporal facilities are provided to user physicians, based on Artificial Intelligence temporal reasoning techniques.
KW - Comorbidity treatment
KW - Computer-interpretable clinical guidelines
KW - Guideline interaction detection
KW - Ontology of time and interactions
KW - Temporal reasoning
UR - http://www.scopus.com/inward/record.url?scp=84938858777&partnerID=8YFLogxK
U2 - 10.5220/0005186300400050
DO - 10.5220/0005186300400050
M3 - Conference contribution
AN - SCOPUS:84938858777
T3 - HEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015
SP - 40
EP - 50
BT - HEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015
A2 - Verdier, Christine
A2 - Bienkiewicz, Marta
A2 - Fred, Ana
A2 - Gamboa, Hugo
A2 - Elias, Dirk
PB - SciTePress
T2 - 8th International Conference on Health Informatics, HEALTHINF 2015
Y2 - 12 January 2015 through 15 January 2015
ER -