An i2b2-based, generalizable, open source, self-scaling chronic disease registry

  title={An i2b2-based, generalizable, open source, self-scaling chronic disease registry},
  author={Marc D. Natter and Justin Quan and David M. Ortiz and Athos Bousvaros and Norman T. Ilowite and Christi J. Inman and Keith Marsolo and Andrew J. McMurry and Christy Sandborg and Laura E. Schanberg and Carol A. Wallace and Robert W. Warren and Griffin M. Weber and Kenneth D. Mandl},
OBJECTIVE Registries are a well-established mechanism for obtaining high quality, disease-specific data, but are often highly project-specific in their design, implementation, and policies for data use. In contrast to the conventional model of centralized data contribution, warehousing, and control, we design a self-scaling registry technology for collaborative data sharing, based upon the widely adopted Integrating Biology & the Bedside (i2b2) data warehousing framework and the Shared Health… CONTINUE READING
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SE,MurphySN.A translational engine at the national scale: informatics for integrating biology and the bedside

  • IS Kohane, Churchill
  • J Am Med Inform Assoc 2012;19:181e5
  • 2012
Highly Influential
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Methods that need to be developed

  • E Blackstone, D Lenat, H. Ishwaran
  • Learning What Works : Infrastructure Required for…
  • 2011
1 Excerpt

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