Planning for volume growth and adopting best business practices for the perioperative environment were overarching themes at the 2020 OR Business Management Conference (ORBMC) in late January. Leading healthcare industry clinicians and experts offered fresh insights into competing in the burgeoning outpatient surgery market and persuading stakeholders to switch to…

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Virginia Commonwealth University Health System (VCU Health) in Richmond is a Magnet facility, and as such we continually examine innovative ideas to improve the quality, safety, and care of our patients. Evidence has linked Enhanced Recovery After Surgery (ERAS) with better outcomes, and ERAS has become a focal point at…

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Healthcare technology can be a great thing, but nurses at Abington—Jefferson Health, in Abington, Pennsylvania, have discovered that sometimes stepping back from it is the best way to make progress. Going low-tech was the key that unlocked patient flow gridlock that had plagued the postanesthesia care unit (PACU). Before 2017,…

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Editor's Note The timing of total knee arthroplasty (TKA) is important to optimize its benefits, but 90% of patients are waiting too long to have it and getting less benefits, and some 25% of patients are having it prematurely when the benefits are  minimal, this study finds. Of 3,417 knees…

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Starting the first cases of the day on time is key for maintaining the OR schedule. A delay in first case on-time starts (FCOTS) can lead to less OR utilization, greater facility costs, and dissatisfaction among physicians, OR staff, and patients. It’s a problem in many surgical suites, but when…

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Editor's Note In this study from Washington University School of Medicine, St Louis, a first case on-time starts (FCOTS) improvement initiative was linked to a higher frequency of FCOTS, which was independently associated with last case on-time ends (LCOTE) and decreased OR overtime costs. Of 12,073 cases (6,095 pre- vs…

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Editor's Note Compared to the historical mean (HM) scheduling approach, the data-driven regression modeling (RM) method improves multiple measures of operative suite efficiency and personnel satisfaction without adversely affecting clinical outcomes, this study finds. The HM approach included case duration of the most recent 4 years, and the RM system…

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Editor's Note In this study, a machine learning algorithm resulted in the most accurate estimation of operative case-time duration. Researcher developed models to predict case-time duration using linear regression and supervised machine learning. Each model included an all-inclusive model, service-specific models, and surgeon-specific models. The data set used included 46,986…

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Editor's Note In this study, researchers developed service- and surgeon-specific statistical models using linear regression and machine learning to predict case-time duration at a large academic medical center. Results showed: The machine-learning algorithm had the highest predictive capability. The surgeon-specific was superior to the service-specific model, with higher accuracies and…

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“What we have right now, quite frankly, in healthcare are islands—visible islands of excellence in a sea of invisible failures, with risk lurking just below the waterline. We need to widen those islands of excellence. We need to connect these islands with more dry land. We need to address these…

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