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CREATE: A New Data Resource to Support Cardiac Precision Health

BACKGROUND: The initiatives of precision medicine and learning health systems require databases with rich and accurately captured data on patient characteristics. We introduce the Clinical Registry, AdminisTrative Data and Electronic Medical Records (CREATE) database, which includes linked data from...

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Autores principales: Lee, Seungwon, Li, Bing, Martin, Elliot A., D’Souza, Adam G., Jiang, Jason, Doktorchik, Chelsea, Southern, Danielle A., Lee, Joon, Wiebe, Natalie, Quan, Hude, Eastwood, Cathy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134941/
https://www.ncbi.nlm.nih.gov/pubmed/34036259
http://dx.doi.org/10.1016/j.cjco.2020.12.019
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author Lee, Seungwon
Li, Bing
Martin, Elliot A.
D’Souza, Adam G.
Jiang, Jason
Doktorchik, Chelsea
Southern, Danielle A.
Lee, Joon
Wiebe, Natalie
Quan, Hude
Eastwood, Cathy A.
author_facet Lee, Seungwon
Li, Bing
Martin, Elliot A.
D’Souza, Adam G.
Jiang, Jason
Doktorchik, Chelsea
Southern, Danielle A.
Lee, Joon
Wiebe, Natalie
Quan, Hude
Eastwood, Cathy A.
author_sort Lee, Seungwon
collection PubMed
description BACKGROUND: The initiatives of precision medicine and learning health systems require databases with rich and accurately captured data on patient characteristics. We introduce the Clinical Registry, AdminisTrative Data and Electronic Medical Records (CREATE) database, which includes linked data from 4 population databases: Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH; a national clinical registry), Sunrise Clinical Manager (SCM) electronic medical record (city-wide), the Discharge Abstract Database (DAD), and the National Ambulatory Care Reporting System (NACRS). The intent of this work is to introduce a cardiovascular-specific database for pursuing precision health activities using big data analytics. METHODS: We used deterministic data linkage to link SCM electronic medical record data to APPROACH clinical registry data using patient identifier variables. The APPROACH-SCM data set was subsequently linked to DAD and NACRS to obtain inpatient and outpatient cohort data. We further validated the quality of the linkage, where applicable, in these databases by comparing against the Alberta Health Insurance Care Plan registry database. RESULTS: We achieved 99.96% linkage across these 4 databases. Currently, there are 30,984 patients with 35,753 catheterizations in the CREATE database. The inpatient cohort contained 65.75% (20,373/30,984) of the patient sample, whereas the outpatient cohort contained 29.78% (9226/30,984). The infrastructure and the process to update and expand the database has been established. CONCLUSIONS: CREATE is intended to serve as a database for supporting big data analytics activities surrounding cardiac precision health. The CREATE database will be managed by the Centre for Health Informatics at the University of Calgary, and housed in a secure high-performance computing environment.
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spelling pubmed-81349412021-05-24 CREATE: A New Data Resource to Support Cardiac Precision Health Lee, Seungwon Li, Bing Martin, Elliot A. D’Souza, Adam G. Jiang, Jason Doktorchik, Chelsea Southern, Danielle A. Lee, Joon Wiebe, Natalie Quan, Hude Eastwood, Cathy A. CJC Open Study Design BACKGROUND: The initiatives of precision medicine and learning health systems require databases with rich and accurately captured data on patient characteristics. We introduce the Clinical Registry, AdminisTrative Data and Electronic Medical Records (CREATE) database, which includes linked data from 4 population databases: Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH; a national clinical registry), Sunrise Clinical Manager (SCM) electronic medical record (city-wide), the Discharge Abstract Database (DAD), and the National Ambulatory Care Reporting System (NACRS). The intent of this work is to introduce a cardiovascular-specific database for pursuing precision health activities using big data analytics. METHODS: We used deterministic data linkage to link SCM electronic medical record data to APPROACH clinical registry data using patient identifier variables. The APPROACH-SCM data set was subsequently linked to DAD and NACRS to obtain inpatient and outpatient cohort data. We further validated the quality of the linkage, where applicable, in these databases by comparing against the Alberta Health Insurance Care Plan registry database. RESULTS: We achieved 99.96% linkage across these 4 databases. Currently, there are 30,984 patients with 35,753 catheterizations in the CREATE database. The inpatient cohort contained 65.75% (20,373/30,984) of the patient sample, whereas the outpatient cohort contained 29.78% (9226/30,984). The infrastructure and the process to update and expand the database has been established. CONCLUSIONS: CREATE is intended to serve as a database for supporting big data analytics activities surrounding cardiac precision health. The CREATE database will be managed by the Centre for Health Informatics at the University of Calgary, and housed in a secure high-performance computing environment. Elsevier 2020-12-27 /pmc/articles/PMC8134941/ /pubmed/34036259 http://dx.doi.org/10.1016/j.cjco.2020.12.019 Text en © 2020 Canadian Cardiovascular Society. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Study Design
Lee, Seungwon
Li, Bing
Martin, Elliot A.
D’Souza, Adam G.
Jiang, Jason
Doktorchik, Chelsea
Southern, Danielle A.
Lee, Joon
Wiebe, Natalie
Quan, Hude
Eastwood, Cathy A.
CREATE: A New Data Resource to Support Cardiac Precision Health
title CREATE: A New Data Resource to Support Cardiac Precision Health
title_full CREATE: A New Data Resource to Support Cardiac Precision Health
title_fullStr CREATE: A New Data Resource to Support Cardiac Precision Health
title_full_unstemmed CREATE: A New Data Resource to Support Cardiac Precision Health
title_short CREATE: A New Data Resource to Support Cardiac Precision Health
title_sort create: a new data resource to support cardiac precision health
topic Study Design
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134941/
https://www.ncbi.nlm.nih.gov/pubmed/34036259
http://dx.doi.org/10.1016/j.cjco.2020.12.019
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