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Demographic management in a federated healthcare environment.

Identifieur interne : 000463 ( PubMed/Corpus ); précédent : 000462; suivant : 000464

Demographic management in a federated healthcare environment.

Auteurs : I. Román ; L M Roa ; J. Reina-Tosina ; G. Madinabeitia

Source :

RBID : pubmed:16766223

English descriptors

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

Links to Exploration step

pubmed:16766223

Le document en format XML

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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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<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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<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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<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>
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