TY - GEN
T1 - The pluripotent rendering of clinical data for precision medicine
AU - Chute, Christopher G.
AU - Huff, Stanley M.
N1 - Funding Information:
This works was supported in part by 90TR000201-4 SHARP Area 4: Secondary Use of EHR Data from the US Office of the National Coordinator in the Department of Health and Human Services, USA.
Publisher Copyright:
© 2017 International Medical Informatics Association (IMIA) and IOS Press.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - Health care and biomedical research are awash in data. Traditional data warehouse methodologies do not scale to this challenge; nor do their schema match the variety of analytic use cases. An alternative model, which shreds data into well-formed constituent data elements, conformant with the emerging CIMI-FHIR standards and stored together with the complete, raw, source data using modern and scalable data utilities such as Hadoop and its derivatives, affords the creation of pluripotent data repositories. Such repositories can be leveraged to generate any number of data marts, registries, and analytic data sets, each of which "just in time" binds an appropriate use-case specific data model. We call this notion PiCaRD: Pluripotent Clinical Repository of Data. We believe such nimble biomedical data management strategies are crucial for Precision Medicine discovery and application.
AB - Health care and biomedical research are awash in data. Traditional data warehouse methodologies do not scale to this challenge; nor do their schema match the variety of analytic use cases. An alternative model, which shreds data into well-formed constituent data elements, conformant with the emerging CIMI-FHIR standards and stored together with the complete, raw, source data using modern and scalable data utilities such as Hadoop and its derivatives, affords the creation of pluripotent data repositories. Such repositories can be leveraged to generate any number of data marts, registries, and analytic data sets, each of which "just in time" binds an appropriate use-case specific data model. We call this notion PiCaRD: Pluripotent Clinical Repository of Data. We believe such nimble biomedical data management strategies are crucial for Precision Medicine discovery and application.
KW - Archiving
KW - Common data elements
KW - Reference standards
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UR - http://www.scopus.com/inward/citedby.url?scp=85040510775&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-830-3-337
DO - 10.3233/978-1-61499-830-3-337
M3 - Conference contribution
C2 - 29295111
AN - SCOPUS:85040510775
T3 - Studies in Health Technology and Informatics
SP - 337
EP - 340
BT - MEDINFO 2017
A2 - Dongsheng, Zhao
A2 - Gundlapalli, Adi V.
A2 - Marie-Christine, Jaulent
PB - IOS Press
T2 - 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Y2 - 21 August 2017 through 25 August 2017
ER -