Integrating a safety smart list into the electronic health record decreases intensive care unit length of stay and cost.

PURPOSE: To measure how an integrated smartlist developed for critically ill patients would change intensive care units (ICUs) length of stay (LOS), mortality, and charges. MATERIALS AND METHODS: Propensity-score analysis of adult patients admitted to one of 14 surgical and medical ICUs between June 2017 and May 2018. The smart list aimed to certain preventative measures for all critical patients (e.g., removing unneeded catheters, starting thromboembolic prophylaxis, etc.) and was integrated into the electronic health record workflows at the hospitals under study. RESULTS: During the study period, 11,979 patients were treated in the 14 participating ICUs by 518 unique providers. Patients who had the smart list used during ≥60% of their ICU stay (N = 432 patients, 3.6%) were significantly more likely to have a shorter ICU LOS (HR = 1.20, 95% CI:1.0 to 1.4, p = 0.015) with an average decrease of -$1218 (95% CI: -$1830 to -$607, P < 0.001) in the amount charged per day. The intervention cohort had fewer average ventilator days (3.05 vent days, SD = 2.55) compared to propensity score matched controls (3.99, SD = 4.68, p = 0.015), but no changes in mortality (16.7% vs 16.0%, p = 0.78). CONCLUSIONS: An integrated smart list shortened LOS and lowered charges in a diverse cohort of critically ill patients.

Quarterly Reporting of Computed Tomography Ordering History Reduces the Use of Imaging in an Emergency Department.

BACKGROUND: Computed tomography (CT) is a useful and necessary part of many emergency department (ED) assessments. However, the costs of imaging and the health risks associated with radiation exposure have sparked national efforts to reduce CT ordering in EDs. STUDY OBJECTIVE: We analyzed CT ordering habits prior to and following implementation of a feedback tool at a community hospital. METHODS: In this intervention study, we identified the CT-ordering habits of physicians and mid-level care providers (physician assistants and nurse practitioners) at baseline and after implementation of a system that sent quarterly feedback reports comparing their ordering habits with those of their peers. Variability in ordering and subgroup analyses by body region were included in these reports. RESULTS: We examined the records of 104,454 patients seen between October 1, 2013 and December 31, 2014. There were 5552 or 21.0% of patients seen during the baseline period that underwent CT imaging. We observed an absolute reduction in imaging of 2.3% (95% confidence interval 1.7-2.8%) after implementation, avoiding approximately $400,000 in costs, 22 days of scanning time, and radiation exposure equivalent to 33,000 chest films annually. These changes occurred across physicians and mid-level providers, regardless of the number years of practice or board certification. CONCLUSIONS: Implementation of a feedback mechanism reduced CT use by emergency medicine practitioners, with concomitant reductions in cost and radiation exposure. The change was similar across levels of medical care. Future studies will examine the effect of the feedback reporting system at other institutions in our hospital network.