1. Clinical Decision Support Reduces Overuse of Red Blood Cell Transfusions: Interrupted Time Series Analysis 
Steven Z. Kassakian, MD, Thomas R. Yackel, MD, MS, MPH, Thomas Deloughery, MD, David A. Dorr, MD, MS 
The American Journal of Medicine 
Volume 129, Issue 6, Pages 636.e e20 (June 2016)
DOI: /j.amjmed
Copyright © 2016 Elsevier Inc. Terms and Conditions

2. Figure 1
The effects of clinical decision support tool implementation on red blood cell transfusions per 100 patient days. The y axis is the outcome measure of # red blood cells transfused per 100 patient days. The x-axis is the month. The vertical dashed line represents the beginning time point, December 2011, for the analysis accounting for a 1-month wash-in period. The solid linear lines represent the regression estimations for each respective period, that is, pre- and postintervention. No statistical difference in either the rate of decline or the change in level was found between the 2 intervention periods.
The American Journal of Medicine  , 636.e e20DOI: ( /j.amjmed )
Copyright © 2016 Elsevier Inc. Terms and Conditions

3. Figure 2
The effects of clinical decision support tool implementation on red blood cell transfusions in patients with hematocrit >21% per 100 patient days. The y axis is the outcome measure of # red blood cells transfused to patients with hematocrit >21 per 100 patient days. The x-axis is the month. The vertical short dashed line represents the beginning time point, December 2011, for the analysis accounting for a 1-month wash-in period. The vertical long dashed line represents the expansion of clinical decision support intervention to surgical and bone marrow transplant patients. Solid lines represent the regression models in each respective period, that is, pre- and postintervention. The difference between the rate of change in red blood cells transfused from the pre- to the postintervention period is 0.06 (95% confidence interval, ) units per 100 patient days per month.
The American Journal of Medicine  , 636.e e20DOI: ( /j.amjmed )
Copyright © 2016 Elsevier Inc. Terms and Conditions

4. Figure 3
Effect of red blood cell clinical decision support tool implementation on platelet transfusion use. Y axis represents platelets transfused per 100 patient days. X-axis is the month during the study. Solid lines represent the regression models in each respective period, that is, pre- and post-intervention. The vertical dashed line represents the implementation of the clinical decision support tool for red blood cell transfusion. There is no statistical difference between the rates of change, that is, slope, between the pre- and postintervention periods (P = .3).
The American Journal of Medicine  , 636.e e20DOI: ( /j.amjmed )
Copyright © 2016 Elsevier Inc. Terms and Conditions

5. Supplementary Figure
Screen shot of the interruptive alert. This alert is presented to the provider when a red blood cell transfusion is ordered for a patient whose last hematocrit value was ≥21%. Acknowledgment reasons for the transfusion are provided for selection. © 2015 Epic Systems Corporation. Used with permission.
The American Journal of Medicine  , 636.e e20DOI: ( /j.amjmed )
Copyright © 2016 Elsevier Inc. Terms and Conditions