Epidemiologic Research on Real-World Medical Data in Japan Volume 1

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 reade...

Full description

Bibliographic Details
Other Authors: Nakashima, Naoki (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2022, 2022
Edition:1st ed. 2022
Series:SpringerBriefs for Data Scientists and Innovators
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03791nmm a2200373 u 4500
001 EB002017718
003 EBX01000000000000001180616
005 00000000000000.0
007 cr|||||||||||||||||||||
008 220701 ||| eng
020 |a 9789811663765 
100 1 |a Nakashima, Naoki  |e [editor] 
245 0 0 |a Epidemiologic Research on Real-World Medical Data in Japan  |h Elektronische Ressource  |b Volume 1  |c edited by Naoki Nakashima 
250 |a 1st ed. 2022 
260 |a Singapore  |b Springer Nature Singapore  |c 2022, 2022 
300 |a XXXI, 93 p. 40 illus., 36 illus. in color  |b online resource 
505 0 |a 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) 
653 |a Internal medicine 
653 |a Aging 
653 |a Internal Medicine 
653 |a Social sciences / Statistical methods 
653 |a IT in Business 
653 |a Health Care 
653 |a Ageing 
653 |a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 
653 |a Business information services 
653 |a Medical care 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a SpringerBriefs for Data Scientists and Innovators 
028 5 0 |a 10.1007/978-981-16-6376-5 
856 4 0 |u https://doi.org/10.1007/978-981-16-6376-5?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 616 
520 |a 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