CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record

@article{Shirts2015CSERAE,
  title={CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record},
  author={Brian H. Shirts and Joseph S. Salama and Samuel J. Aronson and Wendy K. Chung and Stacy W. Gray and Lucia A. Hindorff and Gail P. Jarvik and Sharon E. Plon and Elena M. Stoffel and Peter Tarczy-Hornoch and Eliezer M. Van Allen and Karen E. Weck and Christopher G. Chute and Robert R. Freimuth and Robert W. Grundmeier and Andrea L. Hartzler and Rongling Li and Peggy L. Peissig and Josh F. Peterson and Luke V. Rasmussen and Justin Starren and Marc S. Williams and Casey Lynnette Overby},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  year={2015},
  volume={22 6},
  pages={
          1231-42
        }
}
OBJECTIVE Clinicians' ability to use and interpret genetic information depends upon how those data are displayed in electronic health records (EHRs). There is a critical need to develop systems to effectively display genetic information in EHRs and augment clinical decision support (CDS). MATERIALS AND METHODS The National Institutes of Health (NIH)-sponsored Clinical Sequencing Exploratory Research and Electronic Medical Records & Genomics EHR Working Groups conducted a multiphase, iterative… 

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