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Cross-Border Exchange of Clinical Data Using Archetype Concepts Compatible with the International Patient Summary.
Tcharaktchiev, Dimitar; Krastev, Evgeniy; Petrossians, Patrick; Abanos, Simeon; Kyurkchiev, Hristo; Kovatchev, Petko.
Afiliación
  • Tcharaktchiev D; Department of Medical Informatics, Medical University, Sofia, Bulgaria.
  • Krastev E; Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridsky, Bulgaria.
  • Petrossians P; Centre Hospitalier Universitaire de Liège, Liège, Belgium.
  • Abanos S; Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridsky, Bulgaria.
  • Kyurkchiev H; Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridsky, Bulgaria.
  • Kovatchev P; Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridsky, Bulgaria.
Stud Health Technol Inform ; 270: 552-556, 2020 Jun 16.
Article en En | MEDLINE | ID: mdl-32570444
This paper proposes an approach and demonstrates its application for cross-border exchange of clinical documents oriented towards the use of archetype concepts and international patient summary standards adopted in the European Union. A novelty in this approach is the management of native XML instances of an archetype concept in the CEN 13606 standard by means of a native XML database and XML technologies. The computer experiments demonstrate that it is suitable for representing relatively small clinical datasets such as those describing rare diseases like the Acromegaly illness, where the semantic context in the relatively small number of symptoms is practicable to tag in terms of SNOMED-CT terminology codes. Additionally, we demonstrate that the semantically enriched information model can facilitate secondary use of clinical data by visualizing the execution of queries based on standard terminologies. Finally, the compatibility of the information model with the IPS standard enables sharing of clinical data among different information models.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Semántica / Systematized Nomenclature of Medicine Tipo de estudio: Guideline Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article País de afiliación: Bulgaria

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Semántica / Systematized Nomenclature of Medicine Tipo de estudio: Guideline Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article País de afiliación: Bulgaria
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