Demographic management in a federated healthcare environment.
Identifieur interne : 000498 ( Ncbi/Merge ); précédent : 000497; suivant : 000499Demographic management in a federated healthcare environment.
Auteurs : I. Román [Espagne] ; L M Roa ; J. Reina-Tosina ; G. MadinabeitiaSource :
- International journal of medical informatics [ 1386-5056 ] ; 2006.
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- MESH :
English descriptors
- KwdEn :
- MESH :
Abstract
The purpose of this paper is to provide a further step toward the decentralization of identification and demographic information about persons by solving issues related to the integration of demographic agents in a federated healthcare environment. The aim is to identify a particular person in every system of a federation and to obtain a unified view of his/her demographic information stored in different locations.
DOI: 10.1016/j.ijmedinf.2006.04.006
PubMed: 16766223
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pubmed:16766223Le document en format XML
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<author><name sortKey="Roman, I" sort="Roman, I" uniqKey="Roman I" first="I" last="Román">I. Román</name>
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<author><name sortKey="Roa, L M" sort="Roa, L M" uniqKey="Roa L" first="L M" last="Roa">L M Roa</name>
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<author><name sortKey="Reina Tosina, J" sort="Reina Tosina, J" uniqKey="Reina Tosina J" first="J" last="Reina-Tosina">J. Reina-Tosina</name>
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<author><name sortKey="Roman, I" sort="Roman, I" uniqKey="Roman I" first="I" last="Román">I. Román</name>
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<author><name sortKey="Roa, L M" sort="Roa, L M" uniqKey="Roa L" first="L M" last="Roa">L M Roa</name>
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<author><name sortKey="Reina Tosina, J" sort="Reina Tosina, J" uniqKey="Reina Tosina J" first="J" last="Reina-Tosina">J. Reina-Tosina</name>
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<author><name sortKey="Madinabeitia, G" sort="Madinabeitia, G" uniqKey="Madinabeitia G" first="G" last="Madinabeitia">G. Madinabeitia</name>
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<series><title level="j">International journal of medical informatics</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computer Communication Networks</term>
<term>Delivery of Health Care</term>
<term>Demography</term>
<term>Hospital Information Systems</term>
<term>Humans</term>
<term>Medical Record Linkage</term>
<term>Medical Records Systems, Computerized</term>
<term>Patient Identification Systems</term>
<term>Systems Integration</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Couplage des dossiers médicaux</term>
<term>Démographie</term>
<term>Humains</term>
<term>Intégration de systèmes</term>
<term>Prestations des soins de santé</term>
<term>Réseaux de communication entre ordinateurs</term>
<term>Système identification patient</term>
<term>Systèmes d'information hospitaliers</term>
<term>Systèmes informatisés de dossiers médicaux</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Computer Communication Networks</term>
<term>Delivery of Health Care</term>
<term>Demography</term>
<term>Hospital Information Systems</term>
<term>Humans</term>
<term>Medical Record Linkage</term>
<term>Medical Records Systems, Computerized</term>
<term>Patient Identification Systems</term>
<term>Systems Integration</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Couplage des dossiers médicaux</term>
<term>Démographie</term>
<term>Humains</term>
<term>Intégration de systèmes</term>
<term>Prestations des soins de santé</term>
<term>Réseaux de communication entre ordinateurs</term>
<term>Système identification patient</term>
<term>Systèmes d'information hospitaliers</term>
<term>Systèmes informatisés de dossiers médicaux</term>
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<front><div type="abstract" xml:lang="en">The purpose of this paper is to provide a further step toward the decentralization of identification and demographic information about persons by solving issues related to the integration of demographic agents in a federated healthcare environment. The aim is to identify a particular person in every system of a federation and to obtain a unified view of his/her demographic information stored in different locations.</div>
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<pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">16766223</PMID>
<DateCreated><Year>2006</Year>
<Month>09</Month>
<Day>19</Day>
</DateCreated>
<DateCompleted><Year>2006</Year>
<Month>12</Month>
<Day>07</Day>
</DateCompleted>
<Article PubModel="Print"><Journal><ISSN IssnType="Print">1386-5056</ISSN>
<JournalIssue CitedMedium="Print"><Volume>75</Volume>
<Issue>9</Issue>
<PubDate><Year>2006</Year>
<Month>Sep</Month>
</PubDate>
</JournalIssue>
<Title>International journal of medical informatics</Title>
<ISOAbbreviation>Int J Med Inform</ISOAbbreviation>
</Journal>
<ArticleTitle>Demographic management in a federated healthcare environment.</ArticleTitle>
<Pagination><MedlinePgn>671-82</MedlinePgn>
</Pagination>
<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">The purpose of this paper is to provide a further step toward the decentralization of identification and demographic information about persons by solving issues related to the integration of demographic agents in a federated healthcare environment. The aim is to identify a particular person in every system of a federation and to obtain a unified view of his/her demographic information stored in different locations.</AbstractText>
<AbstractText Label="METHOD" NlmCategory="METHODS">This work is based on semantic models and techniques, and pursues the reconciliation of several current standardization works including ITU-T's Open Distributed Processing, CEN's prEN 12967, OpenEHR's dual and reference models, CEN's General Purpose Information Components and CORBAmed's PID service.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">We propose a new paradigm for the management of person identification and demographic data, based on the development of an open architecture of specialized distributed components together with the incorporation of techniques for the efficient management of domain ontologies, in order to have a federated demographic service. This new service enhances previous correlation solutions sharing ideas with different standards and domains like semantic techniques and database systems. The federation philosophy enforces us to devise solutions to the semantic, functional and instance incompatibilities in our approach.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Although this work is based on several models and standards, we have improved them by combining their contributions and developing a federated architecture that does not require the centralization of demographic information. The solution is thus a good approach to face integration problems and the applied methodology can be easily extended to other tasks involved in the healthcare organization.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Román</LastName>
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<AffiliationInfo><Affiliation>Group of Telematic Engineering, University of Seville, Spain. isabel@trajano.us.es</Affiliation>
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<Author ValidYN="Y"><LastName>Madinabeitia</LastName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D003710">Demography</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D008498">Medical Record Linkage</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="Y" UI="D016347">Medical Records Systems, Computerized</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="Y" UI="D010355">Patient Identification Systems</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="Y" UI="D018511">Systems Integration</DescriptorName>
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<name sortKey="Roa, L M" sort="Roa, L M" uniqKey="Roa L" first="L M" last="Roa">L M Roa</name>
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