In this article, the Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) examined several data models, comparing them to technical and investigator requirements for clinical effectiveness researchers, and selected the model with the best fit.
Introduction: Growing adoption of electronic health records and increased emphasis on the reuse and integration of clinical care and administration data require a robust informatics infrastructure to inform health care effectiveness in real-world settings. The Scalable Architecture for Federated Translational Inquiries Network (SAFTI Net) was one of 3 projects receiving Agency for Healthcare Quality and Research funds to create a scalable, distributed network to support Comparative Effectiveness Research. SAFTINet’s method of extracting and compiling data from disparate entities requires the use of a shared common data model.
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