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Presentation of problem-specific, text-based medical knowledge: XML and related technologies.
Hoelzer, S; Boettcher, H; Schweiger, R K; Konetschny, J; Dudeck, J.
Afiliação
  • Hoelzer S; Institute of Medical Informatics, Justus Liebig University of Giessen, Germany. simon.hoelzer@informatik.uni-giessen.de
Proc AMIA Symp ; : 259-63, 2001.
Article em En | MEDLINE | ID: mdl-11825191
ABSTRACT
Systematic reviews of the impact of clinical decision support systems on provider behavior and patient outcome have shown evidence of benefit. Knowledge-based functions for decision support or monitoring that are integrated in clinical information systems are a potentially effective way. But these concepts are restricted by the efforts required for development and maintenance of the information systems and the limited number of implemented medical rules. Physicians are familiar to get their information from text-based sources. It seems to be straight-forward to rely on a document-based solution in order to present problem-specific information at the point of care. We have developed a concept for context-sensitive retrieving and presentation of text-based medical knowledge (textbook of internal medicine) using the eXtensible Markup Language (XML) and related technologies. This concept can facilitate the electronic query and presentation of this resource. XML may replace narrative text as a storage format and allows to structure the data in a stepwise fashion. On the basis of structured data we are able to improve the search quality for clinical information and its presentation which forms a crucial pre-requisite for the use of the information and the implementation of evidence-based care in the clinical routine.
Assuntos

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Livros de Texto como Assunto / Linguagens de Programação / Armazenamento e Recuperação da Informação / Medicina Baseada em Evidências Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc AMIA Symp Ano de publicação: 2001 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Livros de Texto como Assunto / Linguagens de Programação / Armazenamento e Recuperação da Informação / Medicina Baseada em Evidências Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc AMIA Symp Ano de publicação: 2001 Tipo de documento: Article