Epidemiologic Research on Real-World Medical Data in Japan

Volume 2

Buch | Softcover

120 Seiten

2022 | 1st ed. 2022
Springer Verlag, Singapore
978-981-19-1621-2 (ISBN)

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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.

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.

Erscheinungsdatum	13.06.2022
Reihe/Serie	SpringerBriefs for Data Scientists and Innovators ; 2
Zusatzinfo	25 Illustrations, color; 4 Illustrations, black and white; XXIX, 120 p. 29 illus., 25 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Medizin / Pharmazie ► Gesundheitswesen
	Medizin / Pharmazie ► Medizinische Fachgebiete
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
	Wirtschaft
Schlagworte	aging • Diagnosis Procedure Combination • DPC • Hospital Medical Records • Medical Big Data • Medical Information Database Network • MID-NET • National Database • NDB • RWD
ISBN-10	981-19-1621-7 / 9811916217
ISBN-13	978-981-19-1621-2 / 9789811916212
Zustand	Neuware