A healthcare organization’s perioperative departments present numerous opportunities and obstacles for improved patient care while minimizing organizational expenses. A frequent obstacle is operating room (OR) inefficiency. Often included in OR efficiency improvement methods, parallel processing presents an adapted workflow that allows perioperative team members to complete tasks in parallel with one another as opposed to sequentially completing tasks (Friedman et al., 2006; Harders et al., 2006; Malangoni, 2006). A common metric to evaluate OR efficiency is turnover time, which can be decreased with parallel processing (Basto et al., 2019; Bhatt et al., 2014; Brown et al., 2014; Cerfolio et al., 2019; Fong et al., 2016; Kodali et al., 2014; Lee et al., 2019; Mizumoto et al., 2016; Olson et al., 2018; Pimentel et al., 2015; Souders et al., 2017; Tagge et al., 2017). A benchmark multistep project was completed in hopes of future implementation to effectively practice parallel processing to decrease OR turnover time at the University of Texas Southwestern Medical Center (UTSW) in Dallas, Texas.
The major steps of the proposed parallel processing implementation include creating awareness and interest, building knowledge, promoting action and adoption, and pursuing integration and sustainability (see Appendix A; Cullen & Adams, 2012). Within each of these major steps includes minor steps that will be further explained in this paper. Each project step will need successful completion before proceeding to the next step in the plan. To evaluate the project, quantitative and qualitative data will need to be collected and analyzed to determine successful project implementation and a change in perioperative practices. The data will be used to evaluation the project’s outcomes and success.
Date of publication
MSN Capstone Project (Local Access)
Masters of Science in Nursing, Masters of Business Administration
Barron, Andrea, "Parallel Processing to Decrease Operating Room Turnover Time" (2021). MSN Capstone Projects. Paper 163.