TY - GEN
T1 - Supporting multi-level user-driven detection of guideline interactions
AU - Piovesan, Luca
AU - Molino, Gianpaolo
AU - Terenziani, Paolo
PY - 2015
Y1 - 2015
N2 - Clinical practice guidelines are widely used to support physicians, but only on individual pathologies. The treatment of patients affected by multiple diseases (comorbid patients) requires the development of new approaches, supporting physicians in the detection of interactions between guidelines. We propose a new methodology, supporting flexible and physician-driven search and detection. In particular, we provide a flexible and interactive mechanism to navigate guidelines and our ontology of interactions (between drugs, or between actions' goals) at multiple levels of detail, focusing on specific parts of it (e.g., on a specific pair of actions, or of drugs) to look for interactions. We introduce the notion of "navigation tree", as the basic data structure to support multiple-level interaction analysis, and describe navigation and focusing algorithms operating on it. We also introduce a visualization tool that is based on the "navigation tree", and further enhances the user-friendliness of our approach.
AB - Clinical practice guidelines are widely used to support physicians, but only on individual pathologies. The treatment of patients affected by multiple diseases (comorbid patients) requires the development of new approaches, supporting physicians in the detection of interactions between guidelines. We propose a new methodology, supporting flexible and physician-driven search and detection. In particular, we provide a flexible and interactive mechanism to navigate guidelines and our ontology of interactions (between drugs, or between actions' goals) at multiple levels of detail, focusing on specific parts of it (e.g., on a specific pair of actions, or of drugs) to look for interactions. We introduce the notion of "navigation tree", as the basic data structure to support multiple-level interaction analysis, and describe navigation and focusing algorithms operating on it. We also introduce a visualization tool that is based on the "navigation tree", and further enhances the user-friendliness of our approach.
KW - Comorbidity treatment
KW - Computer-interpretable clinical guidelines
KW - Guideline interaction detection
KW - Knowledge representation
KW - Ontologies
UR - http://www.scopus.com/inward/record.url?scp=84938899944&partnerID=8YFLogxK
U2 - 10.5220/0005217404130422
DO - 10.5220/0005217404130422
M3 - Conference contribution
AN - SCOPUS:84938899944
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 - 413
EP - 422
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 -