Published on in Vol 7, No 4 (2019): Oct-Dec

Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study

Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study

Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study

Emily Rose Pfaff   1 , MS ;   James Champion   1 , BS ;   Robert Louis Bradford   1 , BS ;   Marshall Clark   1 , BS ;   Hao Xu   2 , PhD ;   Karamarie Fecho   2 , PhD ;   Ashok Krishnamurthy   2 , PhD ;   Steven Cox   2 , BS ;   Christopher G Chute   3 , MD, DrPH ;   Casey Overby Taylor   3 , PhD ;   Stan Ahalt   2 , PhD

1 North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

2 Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

3 Center for Communication Programs, Johns Hopkins University, Baltimore, MD, United States

Corresponding Author:

  • Emily Rose Pfaff, MS
  • North Carolina Translational and Clinical Sciences Institute
  • University of North Carolina at Chapel Hill
  • 160 N Medical Drive
  • Chapel Hill, NC, 27599
  • United States
  • Phone: 1 919 843 4712
  • Email: epfaff@email.unc.edu