Nakashima, Naoki
자료유형 | 단행본 |
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개인저자 | Nakashima, Naoki.,editor. |
단체저자명 | SpringerLink (Online service). |
서명/저자사항 | Epidemiologic Research on Real-World Medical Data in Japan [electronic resource] : Volume 2 / edited by Naoki Nakashima. |
판사항 | 1st ed. 2022. |
형태사항 | XXIX, 120 p. 29 illus., 25 illus. in color:online resource. |
총서사항 | SpringerBriefs for Data Scientists and Innovators=2520-1921 ;2 |
총서부출표목 | SpringerBriefs for Data Scientists and Innovators,2 |
기본자료 저록 | Springer Nature eBook |
기타형태 저록 | Printed edition:9789811916212Printed edition:9789811916236 |
ISBN | 9789811916229 |
기타표준부호 | 10.1007/978-981-19-1622-9 |
내용주기 | 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 Japanese real-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. |
요약 | 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. |
일반주제명 | Internal medicine. Business information services. Statistics . Medical care. Aging. Internal Medicine. IT in Business. Statistics. Health Care. Ageing. |
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