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020 _a9789811916229
024 7 _a10.1007/978-981-19-1622-9
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
060 _aWA 950
072 7 _aMJ
_2bicssc
072 7 _aMED045000
_2bisacsh
072 7 _aMJ
_2thema
096 _aWA950EBK
245 1 0 _aEpidemiologic Research on Real-World Medical Data in Japan
_h[electronic resource] :
_bVolume 2 /
_cedited by Naoki Nakashima.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs for Data Scientists and Innovators,
_x2520-1921 ;
_v2
505 0 _aPart 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.
520 _aThis 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.
650 0 _aInternal medicine.
650 0 _aBusiness information services.
650 0 _aStatistics .
650 0 _aMedical care.
650 0 _aAging.
650 1 4 _aInternal Medicine.
650 2 4 _aIT in Business.
650 2 4 _aStatistics.
650 2 4 _aHealth Care.
650 2 4 _aAgeing.
653 0 _aEpidemiologic Research Design
653 0 _aDatasets as Topic
653 0 _aData Mining
653 0 _aMedical Informatics
653 6 _aJapan
700 1 _aNakashima, Naoki.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
830 0 _aSpringerBriefs for Data Scientists and Innovators,
_x2520-1921 ;
_v2
856 4 0 _uhttps://doi.org/10.1007/978-981-19-1622-9
_3Springer eBooks
_zOnline access link to the resource
942 _2NLM
_cEBK