Novel analytics framework for universal healthcare insurance claims database

Jumpei Sato, Kazuo Goda, Masaru Kitsuregawa, Naoki Nakashima, Naohiro Mitsutake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationMEDINFO 2019
Subtitle of host publicationHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
EditorsBrigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
PublisherIOS Press
Pages1578-1579
Number of pages2
ISBN (Electronic)9781643680026
DOIs
Publication statusPublished - Aug 21 2019
Event17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France
Duration: Aug 25 2019Aug 30 2019

Publication series

NameStudies in Health Technology and Informatics
Volume264
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference17th World Congress on Medical and Health Informatics, MEDINFO 2019
CountryFrance
CityLyon
Period8/25/198/30/19

Fingerprint

Insurance
Insurance Claim Review
Databases
Delivery of Health Care

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Sato, J., Goda, K., Kitsuregawa, M., Nakashima, N., & Mitsutake, N. (2019). Novel analytics framework for universal healthcare insurance claims database. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1578-1579). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190543

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 proceedingConference contribution

Sato, J, Goda, K, Kitsuregawa, M, Nakashima, N & Mitsutake, N 2019, Novel analytics framework for universal healthcare insurance claims database. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1578-1579, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 8/25/19. https://doi.org/10.3233/SHTI190543
Sato J, Goda K, Kitsuregawa M, Nakashima N, Mitsutake N. Novel analytics framework for universal healthcare insurance claims database. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1578-1579. (Studies in Health Technology and Informatics). https://doi.org/10.3233/SHTI190543
Sato, Jumpei ; Goda, Kazuo ; Kitsuregawa, Masaru ; Nakashima, Naoki ; Mitsutake, Naohiro. / Novel analytics framework for universal healthcare insurance claims database. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1578-1579 (Studies in Health Technology and Informatics).
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