biostudies-literatureRhee CAHRQ HHSNIGMS NIH HHSNCEZID CDC HHS493-500https://www.ebi.ac.uk/biostudies/studies/S-EPMC7970408biostudies-literatureUnknown47(4)<h4>Objectives</h4>Administrative claims data are commonly used for sepsis surveillance, research, and quality improvement. However, variations in diagnosis, documentation, and coding practices for sepsis and organ dysfunction may confound efforts to estimate sepsis rates, compare outcomes, and perform risk adjustment. We evaluated hospital variation in the sensitivity of claims data relative to clinical data from electronic health records and its impact on outcome comparisons.<h4>Design, setting, and patients</h4>Retrospective cohort study of 4.3 million adult encounters at 193 U.S. hospitals in 2013-2014.<h4>Interventions</h4>None.<h4>Measurements and main results</h4>Sepsis was defined using electronic health record-derived clinical indicators of presumed infection (blood culture draws Critical care medicineVariation in Identifying Sepsis and Organ Dysfunction Using Administrative Versus Electronic Clinical Data and Impact on Hospital Outcome Comparisons.PMC7970408R35 GM119519U54 CK000172K08 HS025008Septimus EJPoland RECenters for Disease Control and Prevention (CDC) Prevention Epicenters ProgramAngus DCHickok JJin RSchaaf RKlompas MMartin GSRhee CWarren DKKadri SSDanner RLWang RJentzsch MSMurphy DJFiore AEFram DDantes RBSeymour CWEpstein LJernigan JAfalseVariation in Identifying Sepsis and Organ Dysfunction Using Administrative Versus Electronic Clinical Data and Impact on Hospital Outcome Comparisons.<h4>Objectives</h4>Administrative claims data are commonly used for sepsis surveillance, research, and quality improvement. However, variations in diagnosis, documentation, and coding practices for sepsis and organ dysfunction may confound efforts to estimate sepsis rates, compare outcomes, and perform risk adjustment. We evaluated hospital variation in the sensitivity of claims data relative to clinical data from electronic health records and its impact on outcome comparisons.<h4>Design, setting, and patients</h4>Retrospective cohort study of 4.3 million adult encounters at 193 U.S. hospitals in 2013-2014.<h4>Interventions</h4>None.<h4>Measurements and main results</h4>Sepsis was defined using electronic health record-derived clinical indicators of presumed infection (blood culture draws 2019-01-01T00:00:00Z2019 Apr2025-04-04T22:01:18.159Z2025-04-04T22:01:18.159ZS-EPMC79704083043149310.1097/CCM.000000000000355410.1097/ccm.0000000000003554