Analysis for the annual text amount of electronic medical records

Kenichiro Fujita, Osamu Sugiyama, Shusuke Hiragi, Kazuya Okamoto, Tadamasa Takemura, Tomohiro Kuroda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationMEDINFO 2019
Subtitle of host publicationHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
EditorsBrigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
PublisherIOS Press
Pages1662-1663
Number of pages2
ISBN (Electronic)9781643680026
DOIs
Publication statusPublished - 21-08-2019
Externally publishedYes
Event17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France
Duration: 25-08-201930-08-2019

Publication series

NameStudies in Health Technology and Informatics
Volume264
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference17th World Congress on Medical and Health Informatics, MEDINFO 2019
Country/TerritoryFrance
CityLyon
Period25-08-1930-08-19

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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