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The purpose is to find out if intraoperative acupuncture performed by needling PC 6 and LI4 point bilaterally, and Yin Tang point will help reduce the incidence postoperative nausea and vomiting in patients undergoing laparoscopic cholecystectomy when added to a prophylactic regimen consisting of ondansetron and dexamethasone. The hypothesis is that the addition of this acupuncture treatment to ondansetron and dexamethasone given for prophylaxis will help reduce the incidence of postoperative nausea and vomiting in patients undergoing laparoscopic cholecystectomy when compared to patients receiving ondansetron and dexamethasone without acupuncture.
The goal of this study is to evaluate the utility and efficacy of an artificial intelligence (AI) model at identifying structures and phases of surgery compared to traditional white light assessment by trained surgeons. Surgeons will perform the procedure in their standard practice, while the AI model analyzes data from the laparoscopic camera. Surgeons will be asked to audibly state when they identify structures and enter different phases of the surgical procedure. The AI will not alter the surgeon's view or be visible to the surgeon, and the surgeon will perform the procedure in the exact same fashion as they typically do.
This trial aims to evaluate the effectiveness of a multi-level, multi-component de-implementation strategy to reduce unnecessary preoperative testing. Sixteen Michigan Value Collaborative (MVC)/Michigan Surgical Quality Collaborative (MSQC) sites in Michigan will implement several tools that have been proven to reduce unnecessary testing at a single site, including clinician education, a decision aid, audit and feedback on performance, and a pay-for-performance incentive. The researchers believe that, through the use of these strategies, there will be a significant reduction in unnecessary preoperative testing during the intervention.