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Domain analysis and modeling to improve comparability of health statistics.
Okada, M; Hashimoto, H; Ohida, T.
Afiliação
  • Okada M; Department of Medical Informatics, Kawasaki University of Medical Welfare, Japan. m-okada@mw.kawasaki-m.ac.jp
Stud Health Technol Inform ; 84(Pt 2): 1374-8, 2001.
Article em En | MEDLINE | ID: mdl-11604952
Health statistics is an essential element to improve the ability of managers of health institutions, healthcare researchers, policy makers, and health professionals to formulate appropriate course of reactions and to make decisions based on evidence. To ensure adequate health statistics, standards are of critical importance. A study on healthcare statistics domain analysis is underway in an effort to improve usability and comparability of health statistics. The ongoing study focuses on structuring the domain knowledge and making the knowledge explicit with a data element dictionary being the core. Supplemental to the dictionary are a domain term list, a terminology dictionary, and a data model to help organize the concepts constituting the health statistics domain.
Assuntos
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Base de dados: MEDLINE Assunto principal: Estatística como Assunto Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2001 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Estatística como Assunto Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2001 Tipo de documento: Article