This project aims to assess the mapping and harmonization of structured electronic health record (EHR) data to standard reference terminologies to identify issues that would adversely impact the use of those records for regulatory or research analysis. This project will develop procedures to investigate the mappings of several structured EHR data domains, specifically laboratory results and medication orders and administrations (inpatient and outpatient), and will characterize the severity of any issues that are uncovered. This project also seeks to develop standardized metrics related to these domains to allow for comparisons across domains within a data source to further identify potential harmonization issues. The primary output of this project will include a set of metrics that can be used to support cross-domain comparisons within a dataset. By defining new metrics for assessments that are not yet routinely conducted in EHR datasets, this project will be complementary to and help inform the activities of Sentinel’s Data Quality Measures (DQM) for EHRs project. The Sentinel Innovation Center will collaborate with experts at Duke University and with the Sentinel Operations Center on this activity.
Judith C. Maro, PhD, MS; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
Keith Marsolo, PhD; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
Lesley Curtis, PhD, Department of Medicine, Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
Sarah Dutcher, PhD, MS; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
Kevin Coughlin, MA; Daniel Kiernan; Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA