TY - GEN
T1 - Analysis for the annual text amount of electronic medical records
AU - Fujita, Kenichiro
AU - Sugiyama, Osamu
AU - Hiragi, Shusuke
AU - Okamoto, Kazuya
AU - Takemura, Tadamasa
AU - Kuroda, Tomohiro
N1 - Publisher Copyright:
© 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
PY - 2019/8/21
Y1 - 2019/8/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85071447456&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071447456&partnerID=8YFLogxK
U2 - 10.3233/SHTI190585
DO - 10.3233/SHTI190585
M3 - Conference contribution
C2 - 31438281
AN - SCOPUS:85071447456
T3 - Studies in Health Technology and Informatics
SP - 1662
EP - 1663
BT - MEDINFO 2019
A2 - Seroussi, Brigitte
A2 - Ohno-Machado, Lucila
A2 - Ohno-Machado, Lucila
A2 - Seroussi, Brigitte
PB - IOS Press
T2 - 17th World Congress on Medical and Health Informatics, MEDINFO 2019
Y2 - 25 August 2019 through 30 August 2019
ER -