Using the EHR to Advance Genomic Medicine Across a Diverse Health System

Given the expansion of indications for genetic testing and our understanding of conditions for which the results change medical management, it is imperative to consider novel ways to deliver care beyond the traditional genetic counseling visit, which are both amenable to large-scale implementation and sustainable. The investigators propose an entirely new approach for the implementation of genomic medicine, supported by the leadership of Penn Medicine, investigating the use of non-geneticist clinician and patient nudges in the delivery of genomic medicine through a pragmatic randomized clinical trial, addressing NHGRI priorities. Our application is highly conceptually and technically innovative, building upon expertise and infrastructure already in place. Innovative qualities of our proposal include: 1) Cutting edge EHR infrastructure already built to support genomic medicine (e.g., partnering with multiple commercial genetic testing laboratories for direct test ordering and results reporting in the EHR); 2) Automated EHR-based direct ordering or referring by specialist clinicians (i.e., use of replicable modules that enable specialist clinicians to order genetic testing through Epic Smartsets, including all needed components, such as populated gene lists, smartphrases, genetic testing, informational websites and acknowledgement e-forms for patient signature); 3) EHR algorithms for accurate patient identification (i.e., electronic phenotype algorithms to identify eligible pa…

This description comes directly from the study's public registry record.

Benita Weathers, MPH  ·  2155738860  ·  weathers@upenn.edu

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