PURPOSE OF REVIEW: The field of regional anesthesia has evolved tremendously in the last 15 years. New anesthesia protocols for ambulatory surgery and enhanced recovery after surgery have been developed as well. The focus of these techniques and protocols has centered on patient satisfaction and pain control while minimizing the use of opioids. The field of ambulatory surgery and anesthesia continues to evolve, and regional anesthesia and its plane techniques are at the center of these changes. RECENT FINDINGS: Recent research has shown that regional techniques contribute to better pain control and patient experience and may decrease patient readmission rates. The safety of these techniques has been validated when performed by experienced practitioners. New techniques such as the erector spinae block (ESP) have been studied in the setting of laparoscopic surgery with promising results. Regional anesthesia techniques for patients presenting for laparoscopic surgery are safe and seem to provide benefits. Those are related to patient experience, pain control, and readmission rates. Different techniques can be applied to a specific type of intervention. Application of these techniques depend on the clinical picture and patient. Future research may help us clarify how these techniques may improve patient satisfaction and operating room efficiency. New regional blocks may also develop based on what we know today.

The post-anesthesia care unit (PACU) length of stay is an important perioperative efficiency metric. The aim of this study was to develop machine learning models to predict ambulatory surgery patients at risk for prolonged PACU length of stay - using only pre-operatively identified factors - and then to simulate the effectiveness in reducing the need for after-hours PACU staffing. Several machine learning classifier models were built to predict prolonged PACU length of stay (defined as PACU stay ≥ 3 hours) on a training set. A case resequencing exercise was then performed on the test set, in which historic cases were re-sequenced based on the predicted risk for prolonged PACU length of stay. The frequency of patients remaining in the PACU after-hours (≥ 7:00 pm) were compared between the simulated operating days versus actual operating room days. There were 10,928 ambulatory surgical patients included in the analysis, of which 580 (5.31%) had a PACU length of stay ≥ 3 hours. XGBoost with SMOTE performed the best (AUC = 0.712). The case resequencing exercise utilizing the XGBoost model resulted in an over three-fold improvement in the number of days in which patients would be in the PACU past 7pm as compared with historic performance (41% versus 12%, P<0.0001). Predictive models using preoperative patient characteristics may allow for optimized case sequencing, which may mitigate the effects of prolonged PACU lengths of stay on after-hours staffing utilization.