the electronic medical records and genomics emerge

The Electronic Medical Records and Genomics (eMERGE) Network is a National Human Genome Research Institute (NHGRI)–funded consortium tasked with developing methods and best practices for the utilization of the electronic medical record (EMR) as a tool for genomic research. The Network brings together researchers with a wide range of expertise in genomics, statistics, ethics, informatics, and clinical medicine from leading medical research institutions across the country to achieve its overall goals.eMERGE is a national network organized and funded by the National Human Genome Research Institute (NHGRI) that combines deoxyribonucleic acid (DNA) biorepositories with electronic medical record (EMR) systems for large-scale, high-throughput genetic research in support of implementing genomic medicine. eMERGE studies and pilots genomic medicine translation through discovery, implementation, tools, and policy. eMERGE is dedicated to developing tools, identifying best practices, and communicating results for participant consent, data sharing, and returning genomic research results, to benefit the broader medical and scientific communities and the general public.The current project portfolio for eMERGE includes patient recruitment, biobank research survey, genomics, phenotyping, privacy, EHRI, precision prescribing, return of results, and patient education.eMERGE was initiated in 2007 and included five biorepositories linked to EMRs. See below for summaries of eMERGE I, II and III.The eMERGE I and II project outcomes demonstrated the value of longitudinal clinical care data captured in electronic health records, namely the identification of new genetic variant disease associations. The Electronic Medical Records and Genomics (eMERGE) Network was announced in September 2007 (RFA HG-07-005).

The national Electronic Medical Records and Genomics (eMERGE) Network launched in 2007 with funding from the National Institutes of Health to incorporate DNA biorepository data with electronic medical record (EMR) systems for large-scale, high-throughput genetic research. Electronic Medical Records and Genomics (eMERGE) Network. For instance, genotypes for type II diabetes patients have also contributed to research of cardiac QRS duration, hypothyroidism and a dozen other phenotypes.The aim of eMERGE Phase II (August 2011 to July 2015) was to provide a meaningful assessment of key elements necessary for the implementation of genome-informed personalized medicine via the tracking of patient and physician actions and responses to genetic information through electronic medical records.In eMERGE II, the Northwestern team led the development of phenotyping algorithms for diverticulosis and diverticulitis, colon polyps, caMRSA and the sub-phenotype for asthma exacerbations, as well as implemented adult and pediatric phenotype algorithms led by other eMERGE II sites.

The eMERGE Network comprises nine geographically distinct groups Figure 1), each with its own biorepository … The network demonstrated that EMR phenotyping to develop cohorts for genome-wide studies was a robust approach to genetic discovery, defined approaches for enhancing privacy of shared EMR data, and engaged patients and communities in consent and data sharing. In addition, Northwestern furthered progress on a pilot project of genome-informed clinical care. The Electronic Medical Records and Genomics (eMERGE) Network is in its third phase and during this time is enrolling and sequencing 25,000 individuals on a custom sequencing panel of clinically relevant, actionable genes. During Phase I,In Phase I, the eMERGE consortium validated the hypothesis that clinical data derived from electronic medical records can be used successfully for complex genomic analysis of disease susceptibility across diverse patient populations.

It is a National Institutes of Health (NIH)–organized and –funded consortium of U.S. medical research institutions. A multicenter pilot of returning genome sequence information to EMRs for use in healthcare is almost complete. A large-scale survey of patient attitudes regarding data sharing is being sent to 90,000 clinic patients across the country. The Northwestern eMERGE II team has also begun to define what makes a genetic variation clinically actionable, to develop technical and regulatory solutions to integrate genomic information into the EHR, to assess physician and patient attitudes toward the value of these data and to develop strategies to educate physicians and patients in the use of genomic data.Northwestern University Feinberg School of Medicine The following list is a subset of informatics-based tools used by multiple eMERGE institutions. The national Electronic Medical Records and Genomics (eMERGE) Network launched in 2007 with funding from the National Institutes of Health to incorporate DNA biorepository data with electronic medical record (EMR) systems for large-scale, high-throughput genetic research. These tools are publicly available and shareable with other institutions or consortia.

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