Creation of a Multicenter Pediatric Inpatient Data Repository Derived from Electronic Health Records

Author:

Hornik Christoph1,Atz Andrew2,Bendel Catherine3,Chan Francis4,Downes Kevin5,Grundmeier Robert5,Fogel Ben6,Gipson Debbie7,Laughon Matthew8,Miller Michael9,Smith Michael1011,Livingston Chad1,Kluchar Cindy1,Heath Anne1,Jarrett Chanda1,McKerlie Brian1,Patel Hetalkumar1,Hunter Christina1,

Affiliation:

1. Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States

2. Department of Pediatrics, Medical University of South Carolina, Charleston, South Carolina, United States

3. Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota, United States

4. Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California, United States

5. Department of Pediatrics, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, United States

6. Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States

7. Department of Pediatrics and Communicable Disease, University of Michigan, Ann Arbor, Michigan, United States

8. Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States

9. Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, United States

10. Department of Pediatrics, University of Louisville School of Medicine, Louisville, Kentucky, United States

11. Division of Pediatric Infectious Diseases, Duke University School of Medicine, Durham North Carolina, United States

Abstract

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.

Publisher

Georg Thieme Verlag KG

Subject

Health Information Management,Computer Science Applications,Health Informatics

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