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Managing clinical guidelines contextualization in the GLARE system

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Computer-based tools to manage clinical guidelines are gaining an increasing relevance within the areas of Artificial Intelligence (AI) in Medicine and Medical Informatics. One of the most relevant obstacles to the application, use and dissemination of clinical guidelines is the gap between the generality of guidelines (as defined, e.g., by physicians' committees) and the peculiarities of the specific contexts of application. First, computer-based guideline managers must be integrated with the Hospital Information System (HIS), and usually different DBMS are adopted by different hospitals. Second, general guidelines do not take into account the fact that the tools needed for laboratory and instrumental investigations might be unavailable at a given hospital. Finally, a sort of "continuous adaptation" has to be supported, to manage the updates needed to cope with new clinical procedures. GLARE is a guideline manager which adopts advanced AI techniques to address the above contextualization issues.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages454-465
Number of pages12
DOIs
Publication statusPublished - 2005
Event9th Congress of the Italian Association for Artificial Intelligence - AI/IA 2005: Advances in Artificial Intelligence - Milan, Italy
Duration: 21 Sept 200523 Sept 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3673 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Congress of the Italian Association for Artificial Intelligence - AI/IA 2005: Advances in Artificial Intelligence
Country/TerritoryItaly
CityMilan
Period21/09/0523/09/05

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