An International Standard RWD Database Designed - Taiwan Experience

Area of Science:

• Medical Informatics
• Health Data Science
• Clinical Research Methodology

Background:

• Real-World Data (RWD) is increasingly essential for medical analysis.
• Sources of RWD include electronic health records (EHRs), claims, sensors, and screenings.
• RWD aims to minimize bias from environmental and experimental variables.

Purpose of the Study:

• To establish a structured, standardized database for clinical research using RWD.
• To demonstrate the feasibility of creating an international standard real-world research database.
• To leverage RWD for cost-effective and accurate medical research.

Main Methods:

• Integrated and pre-processed clinical data and patient self-reports.
• Unified and standardized data formats according to international standards.
• Developed a real-world research database using breast cancer data from a Taipei medical center.

Main Results:

• Successfully created a structured, standardized real-world research database.
• Demonstrated the integration of diverse data sources into a unified format.
• Established a foundation for robust clinical research utilizing real-world evidence.

Conclusions:

• The established database provides a reliable resource for medical data analysis.
• Standardized RWD facilitates more accurate and cost-efficient clinical research.
• This methodology can be applied to other disease areas and research contexts.