Overview
- Explains how big data analysis functions in Japanese medical RWDs
- Introduces four major big data projects in Japanese medical RWDs, their purposes, methods, and issues
- Outlines technological and ethical problems that have emerged in Japanese medical RWD analyses
Part of the book series: SpringerBriefs for Data Scientists and Innovators (SBDSI, volume 1)
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Table of contents (13 chapters)
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Front Matter
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Diagnosis Procedure Combination (DPC)
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Front Matter
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National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB)
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Front Matter
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Medical Information Database Network (MID-NET)
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Front Matter
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Disease Registration Cohort Study with EMR (SS-MIX2)
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Front Matter
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Keywords
About this book
Japan is experiencing unprecedented population aging, and labor productivity has decreased accordingly. Big data analysis of the Japanese medical real-world database (RWD) has the potential to tackle this issue.
To allow readers to gain an understanding of Japanese medical big data analysis, the book discusses the original Japanese system that generates medical RWDs in the hospital medical records system, the nationwide standardized health checkup system, and the public medical insurance system in Japan.
After introducing four major big data projects in the healthcare–medical field in Japan, the book explains the importance of creating information standards to maintain data quality and to analyze medical big data. It enables readers to analyze which standards are installed in which RWDs, how the standards are maintained, and which issues are prevalent in Japan.
This book also describes the ethical processes involved in big data projects involving medical RWDs in Japan.
Editors and Affiliations
Bibliographic Information
Book Title: Epidemiologic Research on Real-World Medical Data in Japan
Book Subtitle: Volume 1
Editors: Naoki Nakashima
Series Title: SpringerBriefs for Data Scientists and Innovators
DOI: https://doi.org/10.1007/978-981-16-6376-5
Publisher: Springer Singapore
eBook Packages: Medicine, Medicine (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Softcover ISBN: 978-981-16-6375-8Published: 12 June 2022
eBook ISBN: 978-981-16-6376-5Published: 11 June 2022
Series ISSN: 2520-1913
Series E-ISSN: 2520-1921
Edition Number: 1
Number of Pages: XXXI, 93
Number of Illustrations: 4 b/w illustrations, 36 illustrations in colour
Topics: Geriatrics/Gerontology, Big Data/Analytics, Statistics for Social Sciences, Humanities, Law, Health Care Management, Aging