Conference
An ontology for healthcare systems
| العنوان: | An ontology for healthcare systems |
|---|---|
| المؤلفون: | Goyer, François, Fabry, Paul, Barton, Adrien, Ethier, Jean-François |
| المساهمون: | Université de Sherbrooke (UdeS), MEthodes et ingénierie des Langues, des Ontologies et du DIscours (IRIT-MELODI), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Centre National de la Recherche Scientifique (CNRS) |
| المصدر: | International Conference on Biomedical Ontology: Lessons from Ontologies in Diverse Domains (ICBO 2022) ; https://hal.science/hal-03921323 ; International Conference on Biomedical Ontology: Lessons from Ontologies in Diverse Domains (ICBO 2022), Sep 2022, Ann Arbor, United States. paper 5498 ; https://icbo-conference.github.io/icbo2022/ |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2022 |
| المجموعة: | Université Toulouse III - Paul Sabatier: HAL-UPS |
| مصطلحات موضوعية: | healthcare, healthcare procedure, roles, healthcare ontology, [SHS.PHIL]Humanities and Social Sciences/Philosophy, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology |
| جغرافية الموضوع: | Ann Arbor, United States |
| الوصف: | International audience ; Modern patient care is becoming increasingly complex and is now most commonly delivered through healthcare systems. Understanding the structure surrounding care is an important tool in optimizing it. This article proposes a unified ontological analysis of healthcare systems following the OBO Foundry Methodology, by exploring the relationships between the caring of individuals, the health workers and healthcare providing organisations. This ontological model strives to enable interoperability in the context of Learning Health Systems. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| Relation: | hal-03921323; https://hal.science/hal-03921323; https://hal.science/hal-03921323/document; https://hal.science/hal-03921323/file/2022%20-%20Goyer.Fabry.Barton.Ethier%20-%20Ontology%20for%20healthcare%20systems.pdf |
| الاتاحة: | https://hal.science/hal-03921323 https://hal.science/hal-03921323/document https://hal.science/hal-03921323/file/2022%20-%20Goyer.Fabry.Barton.Ethier%20-%20Ontology%20for%20healthcare%20systems.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.67EFA375 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |