The Pediatric Emergency Care Applied Research Network Registry: A Multicenter Electronic Health Record Registry of Pediatric Emergency Care.

TitleThe Pediatric Emergency Care Applied Research Network Registry: A Multicenter Electronic Health Record Registry of Pediatric Emergency Care.
Publication TypeJournal Article
Year of Publication2018
AuthorsDavies SJDeakyne, Grundmeier RW, Campos DA, Hayes KL, Bell J, Alessandrini EA, Bajaj L, Chamberlain JM, Gorelick MH, Enriquez R, T Casper C, Scheid B, Kittick M, J Dean M, Alpern ER
Corporate AuthorsPediatric Emergency Care Applied Research Network
JournalAppl Clin Inform
Volume9
Issue2
Pagination366-376
Date Published2018 Apr
ISSN1869-0327
Abstract

BACKGROUND:  Electronic health record (EHR)-based registries allow for robust data to be derived directly from the patient clinical record and can provide important information about processes of care delivery and patient health outcomes.

METHODS:  A data dictionary, and subsequent data model, were developed describing EHR data sources to include all processes of care within the emergency department (ED). ED visit data were deidentified and XML files were created and submitted to a central data coordinating center for inclusion in the registry. Automated data quality control occurred prior to submission through an application created for this project. Data quality reports were created for manual data quality review.

RESULTS:  The Pediatric Emergency Care Applied Research Network (PECARN) Registry, representing four hospital systems and seven EDs, demonstrates that ED data from disparate health systems and EHR vendors can be harmonized for use in a single registry with a common data model. The current PECARN Registry represents data from 2,019,461 pediatric ED visits, 894,503 distinct patients, more than 12.5 million narrative reports, and 12,469,754 laboratory tests and continues to accrue data monthly.

CONCLUSION:  The Registry is a robust harmonized clinical registry that includes data from diverse patients, sites, and EHR vendors derived via data extraction, deidentification, and secure submission to a central data coordinating center. The data provided may be used for benchmarking, clinical quality improvement, and comparative effectiveness research.

DOI10.1055/s-0038-1651496
Alternate JournalAppl Clin Inform
PubMed ID29791930
PubMed Central IDPMC5966304