國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Epidemiologic Research on Real-World Medical Data in Japan/ edited by Naoki Nakashima.
其他題名:	Volume 1 /
其他作者:	Nakashima, Naoki.
面頁冊數:	XXXI, 93 p. 40 illus., 36 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Ageing. -
電子資源:	https://doi.org/10.1007/978-981-16-6376-5
ISBN:	9789811663765

Epidemiologic Research on Real-World Medical Data in Japan = Volume 1 /
Epidemiologic Research on Real-World Medical Data in JapanVolume 1 /[electronic resource] :edited by Naoki Nakashima. - 1st ed. 2022. - XXXI, 93 p. 40 illus., 36 illus. in color.online resource. - SpringerBriefs for Data Scientists and Innovators,12520-1921 ;. - SpringerBriefs for Data Scientists and Innovators,2.

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).

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.

ISBN: 9789811663765

Standard No.: 10.1007/978-981-16-6376-5doiSubjects--Topical Terms:

1365964
Ageing.

LC Class. No.: RC1-1245

Dewey Class. No.: 616

Epidemiologic Research on Real-World Medical Data in Japan = Volume 1 /
LDR:03847nam a22003975i 4500 001 1087306
003 DE-He213
005 20220611080149.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811663765 $9 978-981-16-6376-5
024 7 $a 10.1007/978-981-16-6376-5 $2 doi
035 $a 978-981-16-6376-5
050 4 $a RC1-1245
072 7 $a MJ $2 bicssc
072 7 $a MED032000 $2 bisacsh
072 7 $a MJ $2 thema
082 0 4 $a 616 $2 23
245 1 0 $a Epidemiologic Research on Real-World Medical Data in Japan $h [electronic resource] : $b Volume 1 / $c edited by Naoki Nakashima.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XXXI, 93 p. 40 illus., 36 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs for Data Scientists and Innovators, $x 2520-1921 ; $v 1
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).
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.
650 2 4 $a Ageing. $3 1365964
650 2 4 $a Health Care. $3 1365997
650 2 4 $a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. $3 1366322
650 2 4 $a IT in Business. $3 1064965
650 1 4 $a Internal Medicine. $3 668583
650 0 $a Aging. $3 559847
650 0 $a Medical care. $3 654242
650 0 $a Social sciences—Statistical methods. $3 1366321
650 0 $a Business information services. $3 654161
650 0 $a Internal medicine. $3 644638
700 1 $a Nakashima, Naoki. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1394022
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811663758
776 0 8 $i Printed edition: $z 9789811663772
830 0 $a SpringerBriefs for Data Scientists and Innovators, $x 2520-1921 ; $v 2 $3 1394023
856 4 0 $u https://doi.org/10.1007/978-981-16-6376-5
912 $a ZDB-2-SME
912 $a ZDB-2-SXM
950 $a Medicine (SpringerNature-11650)
950 $a Medicine (R0) (SpringerNature-43714)