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.
Author(s): Naoki Nakashima
Series: SpringerBriefs for Data Scientists and Innovators, 1
Publisher: Springer
Year: 2022
Language: English
Pages: 115
City: Singapore
Preface
Overview
Contents
Contributors
Abbreviations
List of Figures
List of Tables
Diagnosis Procedure Combination (DPC)
Development of a Casemix System and Its Application in Japan
1 Introduction
2 Basic Description of DPC
3 Application of DPC Data for Health Management
4 Conclusion
References
National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB)
The Present Status and Future Perspective of the National Database of Health Insurance Claim Information and Specified Medical Checkups of Japan (NDB)
1 Introduction
2 National Database of Health Insurance Claim Information and Specified Medical Checkups of Japan
2.1 Claims Data (Medical Fee Statements)
2.2 Specified Medical Checkup Data
2.3 Data Format and Quantity
3 Current NDB Utilization
4 Case Study
5 Comparisons with Other Countries
6 Conclusions
Surveillances for Non-communicable Complex Diseases by National Databases of Health Insurance Claims and Specific Health Checkups of Japan
References
Powerful Analytics Platform for National-Scale Database of Health Care Insurance Claims
References
Panoramic View of Diabetes from a Standpoint of the NDB (National Database)
Nephrology Research in the NDB
References
Medical Information Database Network (MID-NET)
Drug Safety Assessment and the MID-NET® (Japanese Medical Information Database Network)
1 Introduction
2 Safety Data Available for Drug Approval
3 PMDA’s Initiative to Utilize a Medical Information Database for Drug Safety Assessment
4 Establishment of MID-NET®
5 Quality Management of MID-NET®
6 Utilization and Characterization of MID-NET®
7 Challenges in the Secondary Utilization of Electronic Health Information for Drug Safety Assessment
References
A Solution to the Problem of Data Quality in MID-NET
1 Present Japanese EMR
2 Construction and Data of Standardized
3 Data Quality Management
Reference
Disease Registration Cohort Study with EMR (SS-MIX2)
Health Information Standards
1 Ministry Designated Standards
2 Images
2.1 Radiology Images
2.2 Other Images
3 Prescriptions
4 Laboratory Examination
5 Documents
6 Disease Classification
References
SS-MIX Structured Standardized Storage
References
Japan Diabetes Comprehensive Database Project Based on an Advanced Electronic Medical Record System (J-DREAMS)
1 Design of the J-DREAMS Project
2 Patient Data Registration and Data Collection
3 Variables
4 Follow-Up
5 Ethical Considerations
6 Overview of Data Collected and Problems to Be Overcome
7 Conclusion
References
Japan Chronic Kidney Disease Database: J-CKD-DB
1 Introduction
2 J-CKD-DB Project
2.1 Data Source
2.2 Inclusion Criteria and Data Elements
2.3 Method for Clinical Data Collection
3 Data Management
3.1 State of Standards in Hospitals
3.2 Laboratory Data Cleansing
4 J-CKD-DB and Its Extensions for Clinical Research
4.1 J-CKD-DB for Clinssical Research
4.2 Extensions and Enhancement of J-CKD-DB
5 Discussion
6 Conclusion
References
The Japan Medical Imaging Database (J-MID)
1 Background/Introduction
2 Description of Activity and Work Performed
3 Conclusion and Recommendations
Reference
