Authors:
Luca Piovesan
1
;
Gianpaolo Molino
2
and
Paolo Terenziani
3
Affiliations:
1
Università degli Studi di Torino, Italy
;
2
Azienda Ospedaliera San Giovanni Battista, Italy
;
3
Università del Piemonte Orientale “Amedeo Avogadro”, Italy
Keyword(s):
Computer-interpretable Clinical Guidelines, Comorbidity Treatment, Knowledge Representation, Ontologies, Guideline Interaction Detection.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Data Management and Quality
;
Data Manipulation
;
Data Visualization
;
Decision Support Systems
;
Health Information Systems
;
Sensor Networks
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-friendli
ness of our approach.
(More)