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.

Supporting Multi-level User-driven Detection of Guideline Interactions

PIOVESAN, LUCA;MOLINO, Gianpaolo;TERENZIANI, Paolo
2015

Abstract

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.
8th International Conference on Health Informatics (HEALTHINF-2015)
Lisbon, Portugal
12-15 January 2015
Proceedings of the International Conference on Health Informatics (HEALTHINF-2015)
SciTePress – Science and Technology Publications
413
422
978-989-758-068-0
Computer-interpretable Clinical Guidelines, Comorbidity Treatment, Knowledge Representation, Ontologies, Guideline Interaction Detection
Piovesan, Luca; Molino, Gianpaolo; Terenziani, Paolo
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1529290
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? ND
social impact