TY - JOUR AU - Hornik, Christoph P.; Atz, Andrew M.; Bendel, Catherine; Chan, Francis; Downes, Kevin; Grundmeier, Robert; Fogel, Ben; Gipson, Debbie; Laughon, Matthew; Miller, Michael; Smith, Michael; Livingston, Chad; Kluchar, Cindy; Heath, Anne; Jarrett, Chanda; McKerlie, Brian; Patel, Hetalkumar; Hunter, Christina; on behalf of the Best Pharmaceuticals for Children Act–Pediatric Trials Network TI - Creation of a Multicenter Pediatric Inpatient Data Repository Derived from Electronic Health Records SN - 1869-0327 PY - 2019 JO - Appl Clin Inform JF - Applied Clinical Informatics LA - EN VL - 10 IS - 02 SP - 307 EP - 315 DA - 2019/05/08 KW - pediatric clinical trials KW - electronic heath record reuse KW - NICHD Pediatric Trials Network KW - inpatient repository KW - data extraction 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. PB - Georg Thieme Verlag KG DO - 10.1055/s-0039-1688477 UR - http://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0039-1688477 ER -