Open AccessVariation in Identifying Sepsis and Organ Dysfunction Using Administrative Versus Electronic Clinical Data and Impact on Hospital Outcome Comparisons*
Author(s) -
Chanu Rhee,
Maximilian S. Jentzsch,
Sameer S Kadri,
Christopher W. Seymour,
Derek C. Angus,
David J. Murphy,
Greg S. Martin,
Raymund Dantes,
Lauren Epstein,
Anthony E. Fiore,
John A. Jernigan,
Robert L. Danner,
David K. Warren,
Edward Septimus,
Jason Hickok,
Russell E. Poland,
Robert Jin,
David Fram,
Richard Schaaf,
Rui Wang,
Michael Klompas
Publication year - 2019
Publication title -
critical care medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.002
H-Index - 271
eISSN - 1530-0293
pISSN - 0090-3493
DOI - 10.1097/ccm.0000000000003554
Subject(s) - medicine , sepsis , organ dysfunction , quartile , retrospective cohort study , septic shock , emergency medicine , medical record , intensive care medicine , confidence interval
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.