Modeling Patient Safety Incidents Knowledge with the Categorial Structure Method
Identifieur interne : 000721 ( Main/Exploration ); précédent : 000720; suivant : 000722Modeling Patient Safety Incidents Knowledge with the Categorial Structure Method
Auteurs : Julien Souvignet [France] ; Cédric Bousquet [France] ; Pierre Lewalle [France] ; Béatrice Trombert-Paviot [France] ; Jean Marie Rodrigues [France]Source :
- AMIA Annual Symposium Proceedings [ 1942-597X ] ; 2011.
Abstract
Following the WHO initiative named World Alliance for Patient Safety (PS) launched in 2004 a conceptual framework developed by PS national reporting experts has summarized the knowledge available. As a second step, the Department of Public Health of the University of Saint Etienne team elaborated a Categorial Structure (a semi formal structure not related to an upper level ontology) identifying the elements of the semantic structure underpinning the broad concepts contained in the framework for patient safety. This knowledge engineering method has been developed to enable modeling patient safety information as a prerequisite for subsequent full ontology development. The present article describes the semantic dissection of the concepts, the elicitation of the ontology requirements and the domain constraints of the conceptual framework. This ontology includes 134 concepts and 25 distinct relations and will serve as basis for an Information Model for Patient Safety.
Url:
PubMed: 22195191
PubMed Central: 3243289
Affiliations:
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first="Jean Marie" last="Rodrigues">Jean Marie Rodrigues</name><affiliation wicri:level="3"><nlm:aff id="af1-1300_amia_2011_proc"> INSERM U872, Eq. 20, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea> INSERM U872, Eq. 20, Paris</wicri:regionArea><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:aff id="af2-1300_amia_2011_proc"> University of Saint Etienne, Department of Public Health and Medical Informatics, Saint-Etienne, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea> University of Saint Etienne, Department of Public Health and Medical Informatics, Saint-Etienne</wicri:regionArea><placeName><region type="region">Auvergne-Rhône-Alpes</region><region type="old region">Rhône-Alpes</region><settlement type="city">Saint-Étienne</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:aff id="af3-1300_amia_2011_proc"> WHO FIC Collaborative Centre for International Classifications in French Language, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea> WHO FIC Collaborative Centre for International Classifications in French Language, Paris</wicri:regionArea><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author></analytic><series><title level="j">AMIA Annual Symposium Proceedings</title><idno type="eISSN">1942-597X</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Following the WHO initiative named World Alliance for Patient Safety (PS) launched in 2004 a conceptual framework developed by PS national reporting experts has summarized the knowledge available. As a second step, the Department of Public Health of the University of Saint Etienne team elaborated a Categorial Structure (a semi formal structure not related to an upper level ontology) identifying the elements of the semantic structure underpinning the broad concepts contained in the framework for patient safety. This knowledge engineering method has been developed to enable modeling patient safety information as a prerequisite for subsequent full ontology development. The present article describes the semantic dissection of the concepts, the elicitation of the ontology requirements and the domain constraints of the conceptual framework. This ontology includes 134 concepts and 25 distinct relations and will serve as basis for an Information Model for Patient Safety.</p></div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li><li>Île-de-France</li></region><settlement><li>Paris</li><li>Saint-Étienne</li></settlement></list><tree><country name="France"><region name="Île-de-France"><name sortKey="Souvignet, Julien" sort="Souvignet, Julien" uniqKey="Souvignet J" first="Julien" last="Souvignet">Julien Souvignet</name></region><name sortKey="Bousquet, Cedric" sort="Bousquet, Cedric" uniqKey="Bousquet C" first="Cédric" last="Bousquet">Cédric Bousquet</name><name sortKey="Bousquet, Cedric" sort="Bousquet, Cedric" uniqKey="Bousquet C" first="Cédric" last="Bousquet">Cédric Bousquet</name><name sortKey="Lewalle, Pierre" sort="Lewalle, Pierre" uniqKey="Lewalle P" first="Pierre" last="Lewalle">Pierre Lewalle</name><name sortKey="Rodrigues, Jean Marie" sort="Rodrigues, Jean Marie" uniqKey="Rodrigues J" first="Jean Marie" last="Rodrigues">Jean Marie Rodrigues</name><name sortKey="Rodrigues, Jean Marie" sort="Rodrigues, Jean Marie" uniqKey="Rodrigues J" first="Jean Marie" last="Rodrigues">Jean Marie Rodrigues</name><name sortKey="Rodrigues, Jean Marie" sort="Rodrigues, Jean Marie" uniqKey="Rodrigues J" first="Jean Marie" last="Rodrigues">Jean Marie Rodrigues</name><name sortKey="Trombert Paviot, Beatrice" sort="Trombert Paviot, Beatrice" uniqKey="Trombert Paviot B" first="Béatrice" last="Trombert-Paviot">Béatrice Trombert-Paviot</name><name sortKey="Trombert Paviot, Beatrice" sort="Trombert Paviot, Beatrice" uniqKey="Trombert Paviot B" first="Béatrice" last="Trombert-Paviot">Béatrice Trombert-Paviot</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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