Epidemiologic Research on Real-World Medical Data in Japan - Volume 1 (Paperback, 1st ed. 2022)

This book analyzes the development of medical big data projects in Japan.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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs for Data Scientists and Innovators, 1
Release date:	June 2022
First published:	2022
Editors:	Naoki Nakashima
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	93
Edition:	1st ed. 2022
ISBN-13:	978-981-16-6375-8
Categories:	Books > Business & Economics > Economics > General Books > Medicine > Clinical & internal medicine > Geriatric medicine Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Medicine > General issues > Health systems & services > General Books > Social sciences > Sociology, social studies > Social groups & communities > Age groups > Adults > Elderly
LSN:	981-16-6375-0
Barcode:	9789811663758

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