TY - JOUR
T1 - Creation of a Multicenter Pediatric Inpatient Data Repository Derived from Electronic Health Records
AU - Hornik, Christoph P.
AU - Atz, Andrew M.
AU - Bendel, Catherine
AU - Chan, Francis
AU - Downes, Kevin
AU - Grundmeier, Robert
AU - Fogel, Ben
AU - Gipson, Debbie
AU - Laughon, Matthew
AU - Miller, Michael
AU - Smith, Michael
AU - Livingston, Chad
AU - Kluchar, Cindy
AU - Heath, Anne
AU - Jarrett, Chanda
AU - McKerlie, Brian
AU - Patel, Hetalkumar
AU - Hunter, Christina
N1 - Publisher Copyright:
© 2019 Georg Thieme. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Background Integration of electronic health records (EHRs) data across sites and access to that data remain limited. Objective We developed an EHR-based pediatric inpatient repository using nine U.S. centers from the National Institute of Child Health and Human Development Pediatric Trials Network. Methods A data model encompassing 147 mandatory and 99 optional elements was developed to provide an EHR data extract of all inpatient encounters from patients <17 years of age discharged between January 6, 2013 and June 30, 2017. Sites received instructions on extractions, transformation, testing, and transmission to the coordinating center. Results We generated 177 staging reports to process all nine sites' 147 mandatory and 99 optional data elements to the repository. Based on 520 prespecified criteria, all sites achieved 0% errors and <2% warnings. The repository includes 386,159 inpatient encounters from 264,709 children to support study design and conduct of future trials in children. Conclusion Our EHR-based data repository of pediatric inpatient encounters utilized a customized data model heavily influenced by the PCORnet format, site-based data mapping, a comprehensive set of data testing rules, and an iterative process of data submission. The common data model, site-based extraction, and technical expertise were key to our success. Data from this repository will be used in support of Pediatric Trials Network studies and the labeling of drugs and devices for children.
AB - Background Integration of electronic health records (EHRs) data across sites and access to that data remain limited. Objective We developed an EHR-based pediatric inpatient repository using nine U.S. centers from the National Institute of Child Health and Human Development Pediatric Trials Network. Methods A data model encompassing 147 mandatory and 99 optional elements was developed to provide an EHR data extract of all inpatient encounters from patients <17 years of age discharged between January 6, 2013 and June 30, 2017. Sites received instructions on extractions, transformation, testing, and transmission to the coordinating center. Results We generated 177 staging reports to process all nine sites' 147 mandatory and 99 optional data elements to the repository. Based on 520 prespecified criteria, all sites achieved 0% errors and <2% warnings. The repository includes 386,159 inpatient encounters from 264,709 children to support study design and conduct of future trials in children. Conclusion Our EHR-based data repository of pediatric inpatient encounters utilized a customized data model heavily influenced by the PCORnet format, site-based data mapping, a comprehensive set of data testing rules, and an iterative process of data submission. The common data model, site-based extraction, and technical expertise were key to our success. Data from this repository will be used in support of Pediatric Trials Network studies and the labeling of drugs and devices for children.
KW - NICHD Pediatric Trials Network
KW - data extraction
KW - electronic heath record reuse
KW - inpatient repository
KW - pediatric clinical trials
UR - http://www.scopus.com/inward/record.url?scp=85065620090&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065620090&partnerID=8YFLogxK
U2 - 10.1055/s-0039-1688477
DO - 10.1055/s-0039-1688477
M3 - Article
C2 - 31067576
AN - SCOPUS:85065620090
SN - 1869-0327
VL - 10
SP - 307
EP - 315
JO - Applied clinical informatics
JF - Applied clinical informatics
IS - 2
ER -