Architectural analysis of clinical ontologies for pHealth interoperability.
Identifieur interne : 000272 ( PubMed/Curation ); précédent : 000271; suivant : 000273Architectural analysis of clinical ontologies for pHealth interoperability.
Auteurs : Gustavo A. Uribe [Colombie] ; Diego M. L Pez ; Bernd BlobelSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2012.
Descripteurs français
- KwdFr :
- Allemagne, Couplage des dossiers médicaux (), Dossiers de santé personnels, Dossiers médicaux électroniques (organisation et administration), Médecine individualisée (), Mémorisation et recherche des informations (), Systèmes d'information hospitaliers (organisation et administration), Systèmes de gestion de bases de données (organisation et administration).
- MESH :
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- Database Management Systems (organization & administration), Electronic Health Records (organization & administration), Germany, Health Records, Personal, Hospital Information Systems (organization & administration), Information Storage and Retrieval (methods), Medical Record Linkage (methods), Precision Medicine (methods).
- MESH :
- geographic : Germany.
- methods : Information Storage and Retrieval, Medical Record Linkage, Precision Medicine.
- organization & administration : Database Management Systems, Electronic Health Records, Hospital Information Systems.
- Health Records, Personal.
Abstract
Comprehensive interoperability between eHealth/pHealth systems requires properly represented shared knowledge. Formal ontologies allow specifying the semantics of health knowledge representation in a well-defined and unambiguous manner. The objective of this paper is to formally analyze - from a system-theoretical architectural perspective - existing clinical ontologies. The paper defines important ontology requirements for semantically interoperable pHealth/eHealth systems. Then, based on those requirements, 17 criteria are defined and used for analyzing 129 clinical ontologies. Statistical results confirm that most ontologies do not meet the defined criteria. OBO foundry defines a good approach to meet all defined criteria, but it does not cover yet the clinical domain as a whole. SNOMED CT was found the more comprehensive one, despite several restrictions.
PubMed: 22942051
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Uribe</name><affiliation wicri:level="1"><nlm:affiliation>Telematics Engineering Research Group, University of Cauca, Colombia.</nlm:affiliation><country xml:lang="fr">Colombie</country><wicri:regionArea>Telematics Engineering Research Group, University of Cauca</wicri:regionArea></affiliation></author><author><name sortKey="L Pez, Diego M" sort="L Pez, Diego M" uniqKey="L Pez D" first="Diego M" last="L Pez">Diego M. L Pez</name></author><author><name sortKey="Blobel, Bernd" sort="Blobel, Bernd" uniqKey="Blobel B" first="Bernd" last="Blobel">Bernd Blobel</name></author></analytic><series><title level="j">Studies in health technology and informatics</title><idno type="ISSN">0926-9630</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Database Management Systems (organization & administration)</term><term>Electronic Health Records (organization & administration)</term><term>Germany</term><term>Health Records, Personal</term><term>Hospital Information Systems (organization & administration)</term><term>Information Storage and Retrieval (methods)</term><term>Medical Record Linkage (methods)</term><term>Precision Medicine (methods)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Allemagne</term><term>Couplage des dossiers médicaux ()</term><term>Dossiers de santé personnels</term><term>Dossiers médicaux électroniques (organisation et administration)</term><term>Médecine individualisée ()</term><term>Mémorisation et recherche des informations ()</term><term>Systèmes d'information hospitaliers (organisation et administration)</term><term>Systèmes de gestion de bases de données (organisation et administration)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Germany</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Information Storage and Retrieval</term><term>Medical Record Linkage</term><term>Precision Medicine</term></keywords><keywords scheme="MESH" qualifier="organisation et administration" xml:lang="fr"><term>Dossiers médicaux électroniques</term><term>Systèmes d'information hospitaliers</term><term>Systèmes de gestion de bases de données</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Database Management Systems</term><term>Electronic Health Records</term><term>Hospital Information Systems</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Health Records, Personal</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Allemagne</term><term>Couplage des dossiers médicaux</term><term>Dossiers de santé personnels</term><term>Médecine individualisée</term><term>Mémorisation et recherche des informations</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Allemagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Comprehensive interoperability between eHealth/pHealth systems requires properly represented shared knowledge. Formal ontologies allow specifying the semantics of health knowledge representation in a well-defined and unambiguous manner. The objective of this paper is to formally analyze - from a system-theoretical architectural perspective - existing clinical ontologies. The paper defines important ontology requirements for semantically interoperable pHealth/eHealth systems. Then, based on those requirements, 17 criteria are defined and used for analyzing 129 clinical ontologies. Statistical results confirm that most ontologies do not meet the defined criteria. OBO foundry defines a good approach to meet all defined criteria, but it does not cover yet the clinical domain as a whole. SNOMED CT was found the more comprehensive one, despite several restrictions.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">22942051</PMID><DateCreated><Year>2012</Year><Month>09</Month><Day>03</Day></DateCreated><DateCompleted><Year>2012</Year><Month>09</Month><Day>27</Day></DateCompleted><DateRevised><Year>2015</Year><Month>11</Month><Day>19</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0926-9630</ISSN><JournalIssue CitedMedium="Print"><Volume>177</Volume><PubDate><Year>2012</Year></PubDate></JournalIssue><Title>Studies in health technology and informatics</Title><ISOAbbreviation>Stud Health Technol Inform</ISOAbbreviation></Journal><ArticleTitle>Architectural analysis of clinical ontologies for pHealth interoperability.</ArticleTitle><Pagination><MedlinePgn>176-82</MedlinePgn></Pagination><Abstract><AbstractText>Comprehensive interoperability between eHealth/pHealth systems requires properly represented shared knowledge. Formal ontologies allow specifying the semantics of health knowledge representation in a well-defined and unambiguous manner. The objective of this paper is to formally analyze - from a system-theoretical architectural perspective - existing clinical ontologies. The paper defines important ontology requirements for semantically interoperable pHealth/eHealth systems. Then, based on those requirements, 17 criteria are defined and used for analyzing 129 clinical ontologies. Statistical results confirm that most ontologies do not meet the defined criteria. OBO foundry defines a good approach to meet all defined criteria, but it does not cover yet the clinical domain as a whole. SNOMED CT was found the more comprehensive one, despite several restrictions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Uribe</LastName><ForeName>Gustavo A</ForeName><Initials>GA</Initials><AffiliationInfo><Affiliation>Telematics Engineering Research Group, University of Cauca, Colombia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>López</LastName><ForeName>Diego M</ForeName><Initials>DM</Initials></Author><Author ValidYN="Y"><LastName>Blobel</LastName><ForeName>Bernd</ForeName><Initials>B</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Stud Health Technol Inform</MedlineTA><NlmUniqueID>9214582</NlmUniqueID><ISSNLinking>0926-9630</ISSNLinking></MedlineJournalInfo><CitationSubset>T</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003628">Database Management Systems</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000458">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D057286">Electronic Health Records</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000458">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" Type="Geographic" UI="D005858">Germany</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D055991">Health Records, Personal</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006751">Hospital Information Systems</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000458">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D016247">Information Storage and Retrieval</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008498">Medical Record Linkage</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D057285">Precision Medicine</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>9</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>9</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>9</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">22942051</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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