Development of a General Statistical Analytical System Using Nationally Standardized Medical Information

Area of Science:

• Medical Informatics
• Health Services Research
• Biostatistics

Background:

• Japan's Next Generation Medical Infrastructure Act (2018) enables R&D using anonymized medical data.
• The Millennial Medical Record Project has amassed substantial standardized hospital data.
• Secure management of non-anonymous data hinders widespread data exploitation for research.

Purpose of the Study:

• To develop a general statistical analytical system for trial-and-error research without programming.
• To address data access challenges for researchers utilizing anonymized medical records.
• To promote the efficient exploitation of medical data for R&D.

Main Methods:

• A user-friendly system with a registration form front-end and Microsoft Excel output.
• A back-end infrastructure utilizing Python, R, and SQL for statistical analysis.
• Implementation of statistical significance tests and power analysis for user-driven research.

Main Results:

• The system provides rapid analysis results from stored Millennial Medical Record data.
• Researchers can perform trial-and-error analyses without programming expertise.
• The system overcomes data access limitations through a secure, streamlined process.

Conclusions:

• The developed system accelerates medical data exploitation for researchers and experts.
• It supports the creation of clinical research and trial protocols.
• The system enhances the potential for discovering real-world evidence from medical data.