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Titlebook: Epidemiologic Research on Real-World Medical Data in Japan; Volume 2 Naoki Nakashima Book 2022 The Editor(s) (if applicable) and The Author

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發(fā)表于 2025-3-21 17:50:15 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Epidemiologic Research on Real-World Medical Data in Japan
副標(biāo)題Volume 2
編輯Naoki Nakashima
視頻videohttp://file.papertrans.cn/314/313151/313151.mp4
概述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 ethic
叢書名稱SpringerBriefs for Data Scientists and Innovators
圖書封面Titlebook: Epidemiologic Research on Real-World Medical Data in Japan; Volume 2 Naoki Nakashima Book 2022 The Editor(s) (if applicable) and The Author
描述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..
出版日期Book 2022
關(guān)鍵詞Aging; Medical Big Data; Hospital Medical Records; RWD; NDB; National Database; MID-NET; Medical Informatio
版次1
doihttps://doi.org/10.1007/978-981-19-1622-9
isbn_softcover978-981-19-1621-2
isbn_ebook978-981-19-1622-9Series ISSN 2520-1913 Series E-ISSN 2520-1921
issn_series 2520-1913
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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A Phenotyping Study Using MID-NET Databaseticularly for describing “phenotypes” (i.e., an organism’s observable physical properties or characteristics), because the data were originally produced and accumulated for routine work, such as medical service fee claims.
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https://doi.org/10.1007/978-3-658-11030-7ticularly for describing “phenotypes” (i.e., an organism’s observable physical properties or characteristics), because the data were originally produced and accumulated for routine work, such as medical service fee claims.
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https://doi.org/10.1007/978-3-322-81063-2wo-and-a-half year’s term research and development project since October 2018. The goal of the project called “ePath” in short is to establish interoperable electronic clinical pathways that enable outcome analyses and process analyses.
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