Editor's Note Anthem Blue Cross Blue Shield recently reversed its controversial plan to impose time limits on anesthesia coverage after intense backlash from the medical community, including anesthesiologists and patient advocates. The policy, aimed at curbing alleged overbilling, would have restricted payments based on average surgery times, a move critics…

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Editor's Note A recent study developed and validated an artificial intelligence (AI) model leveraging natural language processing (NLP) and machine learning to significantly improve prediction accuracy for surgical case length. Published November 29 in the journal Surgery, the findings show promise for using AI as an alternative to current methods…

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When a speaker at a recent conference asked if anyone had achieved a first-case on-time start (FCOTS) rate above 90%, Jay Parker, BSN, RN, could have been the only one in the room with his hand up. However, Parker was not inclined to call attention to himself. As director of…

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Editor's Note AI and machine learning (ML) models show significant promise in enhancing preoperative estimates of surgical control time (SCT), which are frequently wrong, according to a study published September 10 in Perioperative Care and Operating Room Management. The longitudinal study examined differences between predicted and actual SCTs, broken down…

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Editor's Note Better-designed ORs can lead to shorter orthopedic surgery times and fewer disruptions, according to a recent study in Health Environments Research & Design.  Conducted by researchers at the University of Kansas, the study observed 70 unilateral total knee and hip replacement surgeries in two differently designed ORs at…

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Editor's Note Two new studies show robotic surgery outperforming laparoscopic approaches to metabolic and bariatric procedures in terms of operating times, length of hospital stay, and complication rates, according to a June 11 report in Medical Xpress. Both studies were presented at the American Society for Metabolic and Bariatric Surgery…

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Editor's Note Reducing surgeon manipulation of electronic health record (EHR) OR scheduling systems can improve efficiency, save resources, and enhance service to patients, according to data published in the March/April issue of the Journal of Healthcare Management. Although predictive models using EHR and machine learning improve accuracy compared to traditional…

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Editor's Note In this study led by California's Stanford Health Care, researchers found significant associations of surgical team composition and dynamics with operative efficiency for total hip (THAs) and total knee arthroplasties (TKAs), independent of case complexity. The analysis included 641 total joint arthroplasties (279 THAs and 362 TKAs) performed…

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