Epidemiologic Research on Real-World Medical Data in Japan

Volume 1

Buch | Softcover

93 Seiten

2022 | 1st ed. 2022
Springer Verlag, Singapore
978-981-16-6375-8 (ISBN)

Artikel merken

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: Diagnosis Procedure Combination (DPC).- Chapter 1. Development of a casemix system and its application in Japan.- Part 2: National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB).- Chapter 2. The Present Status and Future Perspective of the National Database of Health Insurance Claim Information and Specified Medical Checkups of Japan (NDB).- Chapter 3. Surveillances for Non-communicable Complex Diseases by National Databases of Health Insurance Claims and Specific Health Checkups of Japan.- Chapter 4. Powerful Analytics Platform for National-Scale Database of Health Care Insurance Claims.- Chapter 5. Panoramic view of diabetes from a standpoint of the NDB (National Database).- Chapter 6. Nephrology Research in the NDB.- Part 3: Medical Information Database Network (MID-NET).- Chapter 7. Drug safety assessment and the Japanese medical information database network (MID-NET®).- Chapter 8. A Solution to the Problem of Data Quality in MID-NET.- Part 4: Disease Registration Cohort Study with EMR (SS-MIX2).- Chapter 9. Health Information Standards.- Chapter 10. SS-MIX structured standardized storage.- Chapter 11. Japan Diabetes compREhensive database project based on an Advanced electronic Medical record System (J-DREAMS).- Chapter 12. Japan Chronic Kidney Disease Database: J-CKD-DB.- Chapter 13. The Japan Medical Imaging Database (J-MID).

Erscheinungsdatum	11.08.2022
Reihe/Serie	SpringerBriefs for Data Scientists and Innovators ; 1
Zusatzinfo	36 Illustrations, color; 4 Illustrations, black and white; XXXI, 93 p. 40 illus., 36 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Medizin / Pharmazie ► Medizinische Fachgebiete ► Geriatrie
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
Schlagworte	aging • Diagnosis Procedure Combination • DPC • Hospital Medical Records • Medical Big Data • Medical Information Database Network • MID-NET • National Database • NDB • RWD
ISBN-10	981-16-6375-0 / 9811663750
ISBN-13	978-981-16-6375-8 / 9789811663758
Zustand	Neuware