Characterizing intensive care unit rounding teams using meta-data from the electronic health record

Abstract

PurposeTeamwork is an important determinant of outcomes in the intensive care unit (ICU), yet the nature of individual ICU teams remains poorly understood. We examined whether meta-data in the form of digital signatures in the electronic health record (EHR) could be used to identify and characterize ICU teams. MethodsWe analyzed EHR data from 27 ICUs over one year. We linked intensivist physicians, nurses, and respiratory therapists to individual patients based on selected EHR meta-data. We then characterized ICU teams by their members' overall past experience and shared past experience; and used network analysis to characterize ICUs by their network's density and centralization. ResultsWe identified 2327 unique providers and 30,892 unique care teams. Teams varied based on their average team member experience (median and total range: 262.2 shifts, 9.0–706.3) and average shared experience (median and total range: 13.2 shared shifts, 1.0–99.3). ICUs varied based on their network's density (median and total range: 0.12, 0.07–0.23), degree centralization (0.50, 0.35–0.65) and closeness centralization (0.45, 0.11–0.60). In a regression analysis, this variation was only partially explained by readily observable ICU characteristics. ConclusionsEHR meta-data can assist in the characterization of ICU teams, potentially providing novel insight into strategies to measure and improve team function in critical care.