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Analysis for the Annual Text Amount of Electronic Medical Records.
Fujita, Kenichiro; Sugiyama, Osamu; Hiragi, Shusuke; Okamoto, Kazuya; Takemura, Tadamasa; Kuroda, Tomohiro.
Afiliação
  • Fujita K; Division of Medical Informatics and Administration Planning, Kyoto University Hospital, Kyoto, Japan.
  • Sugiyama O; Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan.
  • Hiragi S; Division of Medical Informatics and Administration Planning, Kyoto University Hospital, Kyoto, Japan.
  • Okamoto K; Division of Medical Informatics and Administration Planning, Kyoto University Hospital, Kyoto, Japan.
  • Takemura T; Division of Medical Informatics and Administration Planning, Kyoto University Hospital, Kyoto, Japan.
  • Kuroda T; Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan.
Stud Health Technol Inform ; 264: 1662-1663, 2019 Aug 21.
Article em En | MEDLINE | ID: mdl-31438281
ABSTRACT
The amount of text of electronic medical records and its changes over time are not clear. In designing an electronic medical records system, prediction of the amount of text is important. We analyzed the number of characters described in the electronic medical records. As a result, it became clear that the annual text quantity of electronic medical records follows the lognormal distribution, and also the amount has been increasing year by year.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde Idioma: En Ano de publicação: 2019 Tipo de documento: Article