TY - GEN
T1 - Novel analytics framework for universal healthcare insurance claims database
AU - Sato, Jumpei
AU - Goda, Kazuo
AU - Kitsuregawa, Masaru
AU - Nakashima, Naoki
AU - Mitsutake, Naohiro
PY - 2019/8/21
Y1 - 2019/8/21
N2 - Medical insurance claims are useful data to offer a big-picture view and insight of a nation-wide healthcare system. Yet, formal description of the logic to analyze the claims has not been established. So far, we proposed a description scheme of analytics logic over claims database. In this paper, we propose a novel analytics framework based on the description scheme. By showing a case study, we demonstrate the effectiveness of the framework.
AB - Medical insurance claims are useful data to offer a big-picture view and insight of a nation-wide healthcare system. Yet, formal description of the logic to analyze the claims has not been established. So far, we proposed a description scheme of analytics logic over claims database. In this paper, we propose a novel analytics framework based on the description scheme. By showing a case study, we demonstrate the effectiveness of the framework.
UR - http://www.scopus.com/inward/record.url?scp=85071472705&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071472705&partnerID=8YFLogxK
U2 - 10.3233/SHTI190543
DO - 10.3233/SHTI190543
M3 - Conference contribution
C2 - 31438240
AN - SCOPUS:85071472705
T3 - Studies in Health Technology and Informatics
SP - 1578
EP - 1579
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 -