An information model for medical events.
Identifieur interne : 000114 ( Pmc/Corpus ); précédent : 000113; suivant : 000115An information model for medical events.
Auteurs : D. J. Essin ; T. L. LincolnSource :
- Proceedings of the Annual Symposium on Computer Application in Medical Care [ 0195-4210 ] ; 1994.
Abstract
Information gathered during the healthcare process is lost when forced into rigidly structured record-oriented databases. By contrast, content can be difficult to manipulate if stored as unstructured text. Spurred by the requirements of electronic publishing, military procurement and the Internet, new robust standards for structuring documents have been developed and deployed. These standards can provide a foundation for a document-based Electronic Medical Record System. In order to fully exploit this added flexibility, an information model is necessary to define both the direct and contextual content of documents. Once context, as well as fact, are recorded in formal structures, inferential techniques can either selectively extract knowledge and data from documents or aggregate data to create summaries so that all interested and authorized parties have a better chance of meeting their information needs from a single, permanent data source.
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PubMed: 7949980
PubMed Central: 2247909
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">An information model for medical events.</title><author><name sortKey="Essin, D J" sort="Essin, D J" uniqKey="Essin D" first="D. J." last="Essin">D. J. Essin</name></author><author><name sortKey="Lincoln, T L" sort="Lincoln, T L" uniqKey="Lincoln T" first="T. L." last="Lincoln">T. L. Lincoln</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">7949980</idno><idno type="pmc">2247909</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2247909</idno><idno type="RBID">PMC:2247909</idno><date when="1994">1994</date><idno type="wicri:Area/Pmc/Corpus">000114</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000114</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">An information model for medical events.</title><author><name sortKey="Essin, D J" sort="Essin, D J" uniqKey="Essin D" first="D. J." last="Essin">D. J. Essin</name></author><author><name sortKey="Lincoln, T L" sort="Lincoln, T L" uniqKey="Lincoln T" first="T. L." last="Lincoln">T. L. Lincoln</name></author></analytic><series><title level="j">Proceedings of the Annual Symposium on Computer Application in Medical Care</title><idno type="ISSN">0195-4210</idno><imprint><date when="1994">1994</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Information gathered during the healthcare process is lost when forced into rigidly structured record-oriented databases. By contrast, content can be difficult to manipulate if stored as unstructured text. Spurred by the requirements of electronic publishing, military procurement and the Internet, new robust standards for structuring documents have been developed and deployed. These standards can provide a foundation for a document-based Electronic Medical Record System. In order to fully exploit this added flexibility, an information model is necessary to define both the direct and contextual content of documents. Once context, as well as fact, are recorded in formal structures, inferential techniques can either selectively extract knowledge and data from documents or aggregate data to create summaries so that all interested and authorized parties have a better chance of meeting their information needs from a single, permanent data source.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Proc Annu Symp Comput Appl Med Care</journal-id><journal-id journal-id-type="pmc">procascamc</journal-id><journal-title>Proceedings of the Annual Symposium on Computer Application in Medical Care</journal-title><issn pub-type="ppub">0195-4210</issn><publisher><publisher-name>American Medical Informatics Association</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">7949980</article-id><article-id pub-id-type="pmc">2247909</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>An information model for medical events.</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Essin</surname><given-names>D. J.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Lincoln</surname><given-names>T. L.</given-names></name></contrib></contrib-group><aff>LAC+USC Medical Center.</aff><pub-date pub-type="ppub"><year>1994</year></pub-date><fpage>509</fpage><lpage>513</lpage><abstract><p>Information gathered during the healthcare process is lost when forced into rigidly structured record-oriented databases. By contrast, content can be difficult to manipulate if stored as unstructured text. Spurred by the requirements of electronic publishing, military procurement and the Internet, new robust standards for structuring documents have been developed and deployed. These standards can provide a foundation for a document-based Electronic Medical Record System. In order to fully exploit this added flexibility, an information model is necessary to define both the direct and contextual content of documents. Once context, as well as fact, are recorded in formal structures, inferential techniques can either selectively extract knowledge and data from documents or aggregate data to create summaries so that all interested and authorized parties have a better chance of meeting their information needs from a single, permanent data source.</p></abstract></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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