語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Epidemiologic Research on Real-World Medical Data in Japan = Volume 2 /
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 2 /
其他作者:
Nakashima, Naoki.
面頁冊數:
XXIX, 120 p. 29 illus., 25 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Ageing. -
電子資源:
https://doi.org/10.1007/978-981-19-1622-9
ISBN:
9789811916229
Epidemiologic Research on Real-World Medical Data in Japan = Volume 2 /
Epidemiologic Research on Real-World Medical Data in Japan
Volume 2 /[electronic resource] :edited by Naoki Nakashima. - 1st ed. 2022. - XXIX, 120 p. 29 illus., 25 illus. in color.online resource. - SpringerBriefs for Data Scientists and Innovators,22520-1921 ;. - SpringerBriefs for Data Scientists and Innovators,2.
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.
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: 9789811916229
Standard No.: 10.1007/978-981-19-1622-9doiSubjects--Topical Terms:
1365964
Ageing.
LC Class. No.: RC1-1245
Dewey Class. No.: 616
Epidemiologic Research on Real-World Medical Data in Japan = Volume 2 /
LDR
:03701nam a22003975i 4500
001
1087078
003
DE-He213
005
20220603170107.0
007
cr nn 008mamaa
008
221228s2022 si | s |||| 0|eng d
020
$a
9789811916229
$9
978-981-19-1622-9
024
7
$a
10.1007/978-981-19-1622-9
$2
doi
035
$a
978-981-19-1622-9
050
4
$a
RC1-1245
072
7
$a
MJ
$2
bicssc
072
7
$a
MED045000
$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 2 /
$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
XXIX, 120 p. 29 illus., 25 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
2
505
0
$a
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.
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.
$3
556824
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
Statistics .
$3
1253516
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
9789811916212
776
0 8
$i
Printed edition:
$z
9789811916236
830
0
$a
SpringerBriefs for Data Scientists and Innovators,
$x
2520-1921 ;
$v
2
$3
1394023
856
4 0
$u
https://doi.org/10.1007/978-981-19-1622-9
912
$a
ZDB-2-SME
912
$a
ZDB-2-SXM
950
$a
Medicine (SpringerNature-11650)
950
$a
Medicine (R0) (SpringerNature-43714)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入