• Daniel J Elliott, Kimberly D Williams, Pan Wu, Hemant V Kher, Barret Michalec, Natalie Reinbold, Christian M Coletti, Badrish J Patel, and Robert M Dressler.
• Christiana Care Quality Partners, and Research Scholar, Value Institute, Christiana Care Health System, Newark, Delaware, USA.
• Jt Comm J Qual Patient Saf. 2015 Dec 1;41(12):542-9.

BackgroundEarly evidence suggests that multidisciplinary programs designed to expedite transfer from the emergency department (ED) may decrease boarding times. However, few models exist that provide effective ways to improve the ED- to-ICU transition process. In 2012 Christiana Care Health System (Newark, Delaware) created and implemented an interdepartmental program designed to expedite the transition of care from the ED to the medical ICU (MICU).MethodsThis quasi-experimental study compared ED length of stay (LOS), MICU LOS, and overall hospital LOS before and after the MICU Alert Team (MAT) intervention program. The MAT consisted of a MICU nurse and physician assistant, with oversight by a MICU attending physician. The ED triggered the MAT after patients were stabilized and determined to require MICU admission. Following bedside face-to-face hand off, the MAT providers then assumed responsibly of a patient's care. If no MICU bed was available, the MAT cared for patients in the ED until they were transferred to the MICU.ResultsED LOS was reduced by 30% (2.6 hours) from baseline (p < .001). There were no significant differences in MICU LOS (p = .26), overall hospital LOS (p = .43), or mortality (p = .59). ED LOS was shortened (p < .001) at each increasing level of MICU bed availability (31% when 0 MICU beds available; 26% when 1 or more MICU beds available). Time series analysis identified a 1.5-hour drop in ED LOS (p = .02) for patients transferred from the MICU immediately following intervention implementation and was sustained over time.ConclusionEarly outcomes demonstrate that the MAT intervention can reduce ED LOS for critically ill patients. Additional studies should determine optimal approaches to improve clinical outcomes.

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