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Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) Technology Infrastructure for a Distributed Data Network

Authors:

Lisa M. Schilling ,

University of Colorado Anschutz Medical Campus
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Bethany M. Kwan,

University of Colorado Anschutz Medical Campus
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Charles T. Drolshagen,

University of Colorado Anschutz Medical Campus
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Patrick W. Hosokawa,

University of Colorado Anschutz Medical Campus
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Elias Brandt,

American Academy of Family Physicians
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Wilson D. Pace,

University of Colorado Anschutz Medical Campus
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Christopher Uhrich,

Recombinant by Deloitte
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Michael Kamerick,

Recombinant by Deloitte
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Aidan Bunting,

Recombinant by Deloitte
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Philip R.O. Payne,

The Ohio State University
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William E. Stephens,

The Ohio State University
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Joseph M. George,

The Ohio State University
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Mark Vance,

The Ohio State University
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Kelli Giacomini,

University of Colorado Anschutz Medical Campus
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Jason Braddy,

University of Colorado Anschutz Medical Campus
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Mika K. Green,

University of Colorado Anschutz Medical Campus
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Michael G. Kahn

University of Colorado Anschutz Medical Campus
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Abstract

Introduction. Distributed Data Networks (DDNs) offer infrastructure solutions for sharing electronic health data from across disparate data sources to support comparative effectiveness research. Data sharing mechanisms must address technical and governance concerns stemming from network security and data disclosure laws and best practices, such as HIPAA.

Methods. The Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) deploys TRIAD grid technology, a common data model, detailed technical documentation, and custom software for data harmonization to facilitate data sharing in collaboration with stakeholders in the care of safety net populations. Data sharing partners host TRIAD grid nodes containing harmonized clinical data within their internal or hosted network environments. Authorized users can use a central web-based query system to request analytic data sets.

Discussion. SAFTINet DDN infrastructure achieved a number of data sharing objectives, including scalable and sustainable systems for ensuring harmonized data structures and terminologies and secure distributed queries. Initial implementation challenges were resolved through iterative discussions, development and implementation of technical documentation, governance, and technology solutions.

How to Cite: Schilling LM, Kwan BM, Drolshagen CT, Hosokawa PW, Brandt E, Pace WD, et al.. Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) Technology Infrastructure for a Distributed Data Network. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2013;1(1):11. DOI: http://doi.org/10.13063/2327-9214.1027
Published on 10 Jul 2013.
Peer Reviewed

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