Using quality improvement to optimise paediatric discharge efficiency.

BACKGROUND: Bed capacity management is a critical issue facing hospital administrators, and inefficient discharges impact patient flow throughout the hospital. National recommendations include a focus on providing care that is timely and efficient, but a lack of standardised discharge criteria at our institution contributed to unpredictable discharge timing and lengthy delays. Our objective was to increase the percentage of Hospital Medicine patients discharged within 2 h of meeting criteria from 42% to 80%. METHODS: A multidisciplinary team collaborated to develop medically appropriate discharge criteria for 11 common inpatient diagnoses. Discharge criteria were embedded into electronic medical record (EMR) order sets at admission and could be modified throughout a patient's stay. Nurses placed an EMR time-stamp to signal when patients met all discharge goals. Strategies to improve discharge timeliness emphasised completion of discharge tasks prior to meeting criteria. Interventions focused on buy-in from key team members, pharmacy process redesign, subspecialty consult timeliness and feedback to frontline staff. A P statistical process control chart assessed the impact of interventions over time. Length of stay (LOS) and readmission rates before and after implementation of process measures were compared using the Wilcoxon rank-sum test. RESULTS: The percentage of patients discharged within 2 h significantly improved from 42% to 80% within 18 months. Patients studied had a decrease in median overall LOS (from 1.56 to 1.44 days; p=0.01), without an increase in readmission rates (4.60% to 4.21%; p=0.24). The 12-month rolling average census for the study units increased from 36.4 to 42.9, representing an 18% increase in occupancy. CONCLUSIONS: Through standardising discharge goals and implementation of high-reliability interventions, we reduced LOS without increasing readmission rates.

Redesigning intensive care unit flow using variability management to improve access and safety.

BACKGROUND: Poor flow of patients into and out of the ICU can result in gridlock and bottlenecks that disrupt care and have a detrimental effect on patient safety and satisfaction, hospital efficiency, staff stress and morale, and revenue. Beginning in 2006, Cincinnati Children's Hospital Medical Center implemented a series of interventions to "smooth" patient flow through the system. METHODS: Key activities included patient flow models based on surgical providers' predicted need for intensive care and predicted length of stay; scheduling the case and an ICU bed at the same time; capping and simulation models to identify the appropriate number of elective surgical cases to maximize occupancy without cancelling elective cases; and a morning huddle by the chief of staff, manager of patient services, and representatives from the operating room, pediatric ICUS, and anesthesia to confirm that day's plan and anticipate the next day's needs. RESULTS: New elective surgical admissions to the pediatric ICU were restricted to a maximum of five cases per day. Diversion of patients to the cardiac ICU, keeping patients in the postanesthesia care unit longer than expected, and delaying or canceling cases are now rare events. Since implementation of the operations management interventions, there have been no cases when beds in the pediatric ICU were not available when needed for urgent medical or surgical use. DISCUSSION: A system for smoothing flow, based on an advanced predictive model for need, occupancy, and length of stay, coupled with an active daily strategy for demand/capacity matching of resources and needs, allowed much better early planning, predictions, and capacity management, thereby ensuring that all patients are in suitable ICU environments.