Author Affiliations: Division of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Dr Starren); Genomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania (Dr Williams); and Charles Bronfman Institute for Personalized Medicine, Mount Sinai School of Medicine, New York, New York (Dr Bottinger).
Despite the information gains from genome-wide association studies and next-generation sequencing (NGS), there remains a chasm between this scientific knowledge and daily clinical practice. Leveraging recent advances in genomics to improve patient care will require electronic health record (EHR) systems that incorporate genomic clinical decision support (CDS). The eMerge (Electronic Medical Records and Genomics)1,2 consortium is bridging this chasm by developing interoperable systems that can integrate large-scale genomic data with clinical workflows. According to a recent Institute of Medicine report,3 the current document-centric approach to omic (eg, genomic, epigenomic, proteomic, metabolomic) data will not scale, making storage of raw omic data in current-generation EHRs not feasible. Although commercial EHRs may eventually evolve to handle omic data efficiently, dedicated omic ancillary systems will be essential in the interim.
Starren J, Williams MS, Bottinger EP. Crossing the Omic Chasm: A Time for Omic Ancillary Systems. JAMA. 2013;309(12):1237–1238. doi:10.1001/jama.2013.1579
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