Collins Julia, Karim Marcus, Akcay Bebhinn, Palaniappa Nandini, Wong Jenson
is a PGY-4 Resident, University of California, San Francisco School of Medicine, San Francisco, California, USA.
is Quality Improvement Specialist/Program Manager, University of California, San Francisco School of Medicine, San Francisco, California, USA.
J Grad Med Educ. 2024 Dec;16(6 Suppl):140-144. doi: 10.4300/JGME-D-24-00074.1. Epub 2024 Dec 13.
Lowering fresh gas flow (FGF) can help decrease the carbon footprint of the operating room as FGF levels act as an indirect measure of anesthetic gas waste. The aim of this quality improvement project was to reduce clinician FGF during general anesthesia with clinical decision support (CDS) tools within the electronic health record (EHR) at a single institution. A non-interruptive alert to reduce FGF was coded into the anesthesia intraoperative EHR workspace to alert whenever the 10-minute average FGF exceeded 1 L/min. It was targeted at anesthesia residents, attendings, and certified registered nurse anesthetists at a single US large academic level 1 trauma center. The number of general anesthesia cases with a target FGF of ≤2 L/min and the amount of sevoflurane (L/hr) was tracked on an individual and institutional basis. Following CDS implementation from July 2023 through July 2024, 2677 of 4573 (58.5%) had a mean FGF ≤2 L/min, demonstrating a 116.7% increase from our institution's baseline of 27.0% (1200 of 4446 cases) from July 2022 to June 2023, corresponding to a sevoflurane usage reduction of 36.7%. Implementing a non-interruptive alert in the EHR altered institution-level behaviors to reduce environmentally harmful anesthetic gas emissions.
降低新鲜气体流量(FGF)有助于减少手术室的碳足迹,因为FGF水平是麻醉气体浪费的间接衡量指标。本质量改进项目的目的是在一家机构的电子健康记录(EHR)中,利用临床决策支持(CDS)工具,在全身麻醉期间降低临床医生的FGF。一个用于降低FGF的非干扰性警报被编码到麻醉术中EHR工作区,以便在10分钟平均FGF超过1 L/分钟时发出警报。该警报针对美国一家大型学术一级创伤中心的麻醉住院医师、主治医师和注册护士麻醉师。在个体和机构层面上,跟踪目标FGF≤2 L/分钟的全身麻醉病例数量以及七氟醚的用量(升/小时)。在2023年7月至2024年7月实施CDS之后,4573例中有2677例(58.5%)的平均FGF≤2 L/分钟,较我们机构2022年7月至2023年6月27.0%(4446例中的1200例)的基线水平增长了116.7%,相应的七氟醚用量减少了36.7%。在EHR中实施非干扰性警报改变了机构层面的行为,以减少对环境有害的麻醉气体排放。