| Literature DB >> 32308829 |
Paul Dexter1,2, Henry Ong3, Amanda Elsey4, Gillian Bell5, Nephi Walton6, Wendy Chung7, Luke Rasmussen8, Kevin Hicks9, Aniwaa Owusu-Obeng10, Stuart Scott10, Steve Ellis10, Josh Peterson3.
Abstract
Precision health's more individualized molecular approach will enrich our understanding of disease etiology and patient outcomes. Universal implementation of precision health will not be feasible, however, until there is much greater automation of processes related to genomic data transmission, transformation, and interpretation. In this paper, we describe a framework for genomic data flow developed by the Clinical Informatics Work Group of the NIH National Human Genome Research Institute (NHGRI) IGNITE Network consortium. We subsequently report the results of a genomic data flow survey administered to sites funded by NIH-NHGRI for large scale genomic medicine implementations. Finally, we discuss insights and challenges identified through these survey results as they relate to both the current and a desirable future state of genomic data flow. ©2019 AMIA - All rights reserved.Entities:
Year: 2020 PMID: 32308829 PMCID: PMC7153090
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076