TY - GEN
T1 - Effect of governance functionality for data standardization management of the medical information database network project
AU - Park, Jinsang
AU - Yamashita, Takanori
AU - Takada, Atsushi
AU - Nojiri, Chinatsu
AU - Izukura, Rieko
AU - Nohara, Yasunobu
AU - Hotta, Taeko
AU - Kang, Dongchon
AU - Nakashima, Naoki
N1 - Funding Information:
This research was supported by AMED (Japan Agency for Medical Research and Development) under Grant Number (17mk0101064h0002) and (17mk0101075h0002). The authors thank the Ministry of Health, Labor, and Welfare, PMDA, and the MID-NET-cooperative medical institutions for their cooperation in the research.
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).
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/8/21
Y1 - 2019/8/21
N2 - Data standardiztion an important aspect to ensure data quality for utilizing large-scale, medical information databases such as the Medical Information Database Network (MID-NET) Project in Japan. We established a governance center to assess the consistency of standard codes across MID-NET-cooperating medical institutions. Moreover, we developed a real-time validation tool and determined its effect in improving data quality in medical institutions by providing a central feedback on the detected differences in standard disease-name codes.
AB - Data standardiztion an important aspect to ensure data quality for utilizing large-scale, medical information databases such as the Medical Information Database Network (MID-NET) Project in Japan. We established a governance center to assess the consistency of standard codes across MID-NET-cooperating medical institutions. Moreover, we developed a real-time validation tool and determined its effect in improving data quality in medical institutions by providing a central feedback on the detected differences in standard disease-name codes.
UR - http://www.scopus.com/inward/record.url?scp=85071466644&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071466644&partnerID=8YFLogxK
U2 - 10.3233/SHTI190535
DO - 10.3233/SHTI190535
M3 - Conference contribution
C2 - 31438232
AN - SCOPUS:85071466644
T3 - Studies in Health Technology and Informatics
SP - 1562
EP - 1563
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 -