TY - JOUR
T1 - Standardized Architecture for a Mega-Biobank Phenomic Library
T2 - The Million Veteran Program (MVP)
AU - VA Million Veteran Program
AU - Knight, Kathryn E
AU - Honerlaw, Jacqueline
AU - Danciu, Ioana
AU - Linares, Franciel
AU - Ho, Yuk-Lam
AU - Gagnon, David R
AU - Rush, Everett
AU - Gaziano, J Michael
AU - Begoli, Edmon
AU - Cho, Kelly
N1 - ©2020 AMIA - All rights reserved.
PY - 2020
Y1 - 2020
N2 - Electronic health records (EHRs) provide a wealth of data for phenotype development in population health studies, and researchers invest considerable time to curate data elements and validate disease definitions. The ability to reproduce well-defined phenotypes increases data quality, comparability of results and expedites research. In this paper, we present a standardized approach to organize and capture phenotype definitions, resulting in the creation of an open, online repository of phenotypes. This resource captures phenotype development, provenance and process from the Million Veteran Program, a national mega-biobank embedded in the Veterans Health Administration (VHA). To ensure that the repository is searchable, extendable, and sustainable, it is necessary to develop both a proper digital catalog architecture and underlying metadata infrastructure to enable effective management of the data fields required to define each phenotype. Our methods provide a resource for VHA investigators and a roadmap for researchers interested in standardizing their phenotype definitions to increase portability.
AB - Electronic health records (EHRs) provide a wealth of data for phenotype development in population health studies, and researchers invest considerable time to curate data elements and validate disease definitions. The ability to reproduce well-defined phenotypes increases data quality, comparability of results and expedites research. In this paper, we present a standardized approach to organize and capture phenotype definitions, resulting in the creation of an open, online repository of phenotypes. This resource captures phenotype development, provenance and process from the Million Veteran Program, a national mega-biobank embedded in the Veterans Health Administration (VHA). To ensure that the repository is searchable, extendable, and sustainable, it is necessary to develop both a proper digital catalog architecture and underlying metadata infrastructure to enable effective management of the data fields required to define each phenotype. Our methods provide a resource for VHA investigators and a roadmap for researchers interested in standardizing their phenotype definitions to increase portability.
M3 - Article
C2 - 32477652
SN - 2153-4063
VL - 2020
SP - 326
EP - 334
JO - AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
JF - AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
ER -