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020			_a9789811916229
024	7		_a10.1007/978-981-19-1622-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRA650.7.J3 _b2022 EB
245	0	0	_aEpidemiologic Research on Real-World Medical Data in Japan : _bVolume 2 _cedited by Naoki Nakashima
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer Nature Singapore _c2022
300			_a1 recurso en línea (XXIX, 120 páginas) _b29 ilustraciones, 25 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSpringer_Medicine_2022
650		7	_2embne _9138405 _aEpidemiología _zJapón
650		7	_2embne _9421154 _aInformática médica _zJapón
700	1		_aNakashima, Naoki _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811916212
776	0	8	_iPrinted edition: _z9789811916236
830		0	_aSpringerBriefs for Data Scientists and Innovators, _x2520-1921 ; _v2
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-1622-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2022 _dz _eIG _zSI