A global federated real-world data and analytics platform for research.

Area of Science:

• Biomedical Research
• Clinical Informatics
• Data Science

Background:

• The need for accessible, de-identified electronic health record (EHR) data is critical for advancing biomedical and clinical research.
• Existing data networks often face challenges in scalability, security, and fostering inter-organizational collaboration.
• Bridging the gap between healthcare organizations (HCOs) and industry partners (pharmaceutical companies, contract research organizations) is essential for efficient research.

Purpose of the Study:

• To describe the TriNetX network, a global platform for electronic health record data.
• To highlight its role in facilitating collaboration between academic and industry entities for research purposes.
• To demonstrate its scalability, performance, and sustainability.

Main Methods:

• Development of a technology platform with a robust security and governance model.
• Establishment of a network connecting academic/community healthcare organizations (HCOs) with industry participants.
• Incentivizing participation through data access, analytics, and trial opportunities.

Main Results:

• The TriNetX network has grown significantly, from 55 HCOs in 7 countries (2017) to over 220 HCOs in 30 countries (2022).
• Over 19,000 sponsored clinical trial opportunities have been initiated via the network.
• More than 350 peer-reviewed publications have utilized data from the TriNetX network.

Conclusions:

• The TriNetX network represents a proven and sustainable model for building and maintaining research-centric data networks.
• The academic-industry collaborative structure is effective for advancing clinical research and drug development.
• Continued growth and research output validate the network's approach to data sharing and collaboration.