Decreasing wait times for endobronchial ultrasound (EBUS).

192 Background: The department of pulmonary medicine evaluates manifestations of cancer and complications of therapy that affect the lungs. It is a procedurally oriented specialty with many diagnostic and therapeutic interventions. Endobronchial ultrasound with transbronchial fine needle aspiration (EBUS-TBNA) is a minimally invasive procedure that allows real time image guided sampling of tissue in the mediastinum. Current guidelines recommend use of EBUS for the initial test to diagnosis and stage lung cancer. It has a low complication rate, but needs specialized equipment as well as anesthesia support. Alternatives include CT-guided biopsy or surgery. The delay from time of referral to EBUS procedure has the potential to delay diagnosis and treatment, create patient anxiety, frustration and expense of travel for multiple appointments. The staff is under pressure to perform excessive cases on a daily basis resulting in overtime staffing costs. Our objectives were to reduce delays in diagnosis/treatment, improve patient satisfaction, improve referring services satisfaction and optimize the use of resources and improve staff working conditions. Methods: We used a Plan, Do, Study, Act process. Initially the process flow diagram was utilized along with a fishbone diagram to allow us to focus on the issues. The aim was to decrease EBUS wait time 20% by 7/2016. Our process flow sheet was arranged into swimlanes in order to identify focus areas. This allowed us to redesign the workflow to improve capacity and improve existing resources to be more efficient. Results: Working with anesthesia services and the cardiopulmonary center staff, we were able to open a second bronchoscopy suite 2 days a week for additional EBUS cases. We also had monthly meetings with issues and to monitor delays to other services. Conclusions: We were able to reduce our wait time from 7.5 days to 4.27 work days. The added capacity allows for surge in demand for EBUS. Our future studies will concentrate on patient and referring service satisfaction, cost savings with reduction in overtime, quantifying impact on decreasing delays in diagnosis and subsequent treatment.