TY - GEN
T1 - Quality improvement of blood drawing through targeted training using an operation support system
AU - Shimono, Ryoko
AU - Akinaga, Rie
AU - Inaba, Norikazu
N1 - Funding Information:
The authors would like to thank the joint research members in Iizuka Hospital for their significant contributions to this study. This study was supported by JSPS KAKENHI (Grant Number JP17K01245). And activities of the Presidential Endowed Chair for “Platinum Society” in the University of Tokyo are supported by the KAITEKI Institute, Inc., Mitsui Fudosan Co., Ltd., Shin-Etsu Chemical Co., Ltd., ORIX Corporation, Sekisui House Ltd., and East Japan Railway Company.
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 - In order to reduce the rate of needle re-insertion (hereafter, retaking) during a blood drawing operation, we proposed a method for training blood drawing staff, based on data analysis. The method is composed of three steps: (1) analysis of collected data for selecting staff to be trained intensively, (2) training, and (3) assessment of training results. We obtained the result that the retaking rate was reduced for the trained staff.
AB - In order to reduce the rate of needle re-insertion (hereafter, retaking) during a blood drawing operation, we proposed a method for training blood drawing staff, based on data analysis. The method is composed of three steps: (1) analysis of collected data for selecting staff to be trained intensively, (2) training, and (3) assessment of training results. We obtained the result that the retaking rate was reduced for the trained staff.
KW - Data Analysis
KW - Phlebotomy
KW - Training Programs
UR - http://www.scopus.com/inward/record.url?scp=85071414745&partnerID=8YFLogxK
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U2 - 10.3233/SHTI190694
DO - 10.3233/SHTI190694
M3 - Conference contribution
C2 - 31438389
AN - SCOPUS:85071414745
T3 - Studies in Health Technology and Informatics
SP - 1880
EP - 1881
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 -