Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | MEDINFO 2019 |
| Subtitle of host publication | Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics |
| Editors | Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi |
| Publisher | IOS Press |
| Pages | 1578-1579 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781643680026 |
| DOIs | |
| Publication status | Published - Aug 21 2019 |
| Event | 17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: Aug 25 2019 → Aug 30 2019 |
Publication series
| Name | Studies in Health Technology and Informatics |
|---|---|
| Volume | 264 |
| ISSN (Print) | 0926-9630 |
| ISSN (Electronic) | 1879-8365 |
Conference
| Conference | 17th World Congress on Medical and Health Informatics, MEDINFO 2019 |
|---|---|
| Country | France |
| City | Lyon |
| Period | 8/25/19 → 8/30/19 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Health Informatics
- Health Information Management
Cite this
Novel analytics framework for universal healthcare insurance claims database. / Sato, Jumpei; Goda, Kazuo; Kitsuregawa, Masaru; Nakashima, Naoki; Mitsutake, Naohiro.
MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1578-1579 (Studies in Health Technology and Informatics; Vol. 264).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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.
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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
ER -