Epidemiologic Research on Real-World Medical Data in Japan
Volume 2
(Sprache: Englisch)
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...
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Klappentext zu „Epidemiologic Research on Real-World Medical Data in Japan “
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.Inhaltsverzeichnis zu „Epidemiologic Research on Real-World Medical Data in Japan “
Part 1: Clinical Pathway.- Chapter 1. Real World Medical Data Clinical Pathway in Japan.- Chapter 2. Medical process analysis by using all-variance type outcome-oriented electronic clinical pathway data -Exploratory extracting critical indicator.- Chapter 3. Information and Data standard development for Clinical Pathways.- Part 2: Standard Code Mapping and Data Quality.- Chapter 4. Japan Laboratory Code (JLAC) 10.- Chapter 5. ICD-10 and ICD-11 in Japan.- Chapter 6. Standard codes for prescribing drugs use multiple code systems depending on their purpose.- Chapter 7. Data Quality Governance Experience at the MID-NET Project.- Part 3: Phenotyping.- Chapter 8. Phenotyping in Japan.- Chapter 9. Phenotyping of Administrative Claims Data.- Chapter 10. Phenotyping study using MID-NET database.- Chapter 11. Integration of phenotyping algorithms in Japan.- Part 4: Data Analysis on Real World Data.- Chapter 12. Analysis on Real-World Data: An Overview.- Chapter 13. Problems in Japanesereal-world medical data analyses.- Part 5: Ethical Issues of Data Secondary Use in Japan.- Chapter 14. Ethical, Legal, and Social Issues Pertaining to the Use of Real-world Health Data in Japan.- Chapter 15. The Next-Generation Medical Infrastructure Law.Bibliographische Angaben
- 2022, 1st ed. 2022, XXIX, 120 Seiten, 25 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Naoki Nakashima
- Verlag: Springer, Berlin
- ISBN-10: 9811916217
- ISBN-13: 9789811916212
Sprache:
Englisch
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