Data-Sharing Gateway System Design for Large-Scale Medical Information Collection with Distributed EMR Storage

Area of Science:

• Medical Informatics
• Artificial Intelligence
• Data Science

Background:

• Ongoing development of large-scale medical data collection for AI.
• Established data collection systems in Japan for medical imaging and disease repositories.
• Initiatives for next-generation medical infrastructure are underway.

Purpose of the Study:

• To address the requirements for providing medical care information to data collection projects.
• To propose additional requirements for an evolving gateway system.
• To ensure safe and efficient secondary use of collected medical data.

Main Methods:

• Development of a centrally integrated basic system for data aggregation.
• Transfer and import of standardized electronic medical record (EMR) data from multiple hospitals into a central database.
• Implementation of a mechanism for managing patient notification and opt-out preferences as mandated by law.

Main Results:

• A centralized database system has been established for secondary use of EMR data.
• The system facilitates large-scale data collection for AI development and multifacility clinical research.
• Legal requirements for patient consent management are integrated into the system.

Conclusions:

• Safe and efficient secondary use of medical information is crucial for advancing AI and clinical research.
• The developed system supports the secondary use of EMR data under legal compliance.
• Further refinement of gateway systems is needed to optimize data provision for research projects.