Background: We aimed to robustly categorize glycemic control in our medical intensive care unit (ICU) as either acceptable or suboptimal based on time-weighted daily blood glucose averages of <180 mg/dL or >180 mg/dL; identify clinical risk factors for suboptimal control; and compare clinical outcomes between the 2 glycemic control categories.
Methods: This was a retrospective cohort study in an academic tertiary and quaternary medical ICU.
Results: Out of total of 974 unit stays over a 2-year period, 920 had complete data sets available for analysis.
Unlabelled: Little is known on how to best prioritize various tele-ICU specific tasks and workflows to maximize operational efficiency. We set out to: 1) develop an operational model that accurately reflects tele-ICU workflows at baseline, 2) identify workflow changes that optimize operational efficiency through discrete-event simulation and multi-class priority queuing modeling, and 3) implement the predicted favorable workflow changes and validate the simulation model through prospective correlation of actual-to-predicted change in performance measures linked to patient outcomes.
Setting: Tele-ICU of a large healthcare system in New York State covering nine ICUs across the spectrum of adult critical care.