Quantifying the Metrics of Surgical Mastery: An Exploration in Data Science

项目概要 在外科手术中，人们普遍认为可能需要十到二十年的学习曲线才能掌握某些手术 程序。我们相信这个时间表可以而且应该缩短，以改善患者护理。我们的短期目标 是通过建立掌握的数据库为外科数据科学的新兴领域做出重大贡献 水平手术表现并生成多模式数据收集和分析程序的路线图。 广泛分享我们的流程、程序和结果将有助于改变医疗保健领域的测量文化。 通过我们与美国外科医师学会新建立的合作伙伴关系（2019 年 10 月），我们 通过“手术指标项目”开始对话已经取得了早期成功 （https://www.facs.org/education/surgical-metrics）。 使用标准化数据收集平台（精通级疝气模拟），我们将部署和同步 多种数据采集方法（运动跟踪、视频、音频和经过验证的手术性能检查表） 建立我们的数据库。数据分析将量化手术掌握程度并包括新的应用程序和 机器学习的发现。 假设：使用多种同步数据捕获方法和机器学习，可以 创建一个掌握水平手术策略的数据库，可以将其转化为增值的手术方案 外科医生的导航工具。 为了检验这一假设，我们将根据经验研究以下释义目标： 具体目标 1：量化模拟腹腔镜腹腔手术期间的手术掌握程度（认知和技术） 通过使用从采集的多模态性能指标进行术后分析来进行疝气 (LVH) 修复 医院认证的外科医生（N~125）。 具体目标 2：通过比较基于模拟的 LVH 建立手术掌握指标的有效性证据 同一外科医生（N~60）的手术室 LVH 表现。 具体目标 3：实证研究利用手术导航的最佳实施策略 旨在向患者提供有关掌握级手术实施策略的增值信息的工具 新一批拥有医院资格的外科医生（N~125）。

PROJECT SUMMARY In surgery, it is accepted that there may be a ten to twenty-year learning curve to reach mastery for certain procedures. We believe this timeline can and should be shortened to improve patient care. Our short-term goal is to make a major contribution to the emerging field of Surgical Data Science by building a database of mastery level surgical performance and generating a roadmap for multimodal data collection and analysis procedures. Sharing our process, procedures and results broadly, will help to change measurement culture in healthcare. Through our newly developed partnership (October 2019) with the American College of Surgeons, we have already experienced early success in starting the conversation through the “Surgical Metrics Project” (https://www.facs.org/education/surgical-metrics). Using a standardized data collection platform (a mastery-level hernia simulation), we will deploy and synchronize multiple data capture approaches (motion tracking, video, audio and validated surgical performance checklists) to build our database. Data analysis will quantify surgical mastery and consist of new applications and discoveries in machine learning. Hypothesis: Using multiple, synchronized data capture approaches and machine learning, it is possible to create a database of mastery level surgical strategies that can be translated into a value-added, surgical navigation tool for surgeons. To test this hypothesis, we will empirically investigate the following paraphrased aims: SPECIFIC AIM 1: Quantify surgical mastery (cognitive and technical) during a simulated laparoscopic ventral hernia (LVH) repair by using a post-procedure analysis of multi-modal performance metrics captured from hospital credentialed surgeons (N~125). SPECIFIC AIM 2: Establish validity evidence for surgical mastery metrics by comparing simulation-based LVH performance with operating room LVH performance from the same surgeons (N~60). SPECIFIC AIM 3: Empirically investigate the best implementation strategy for utilization of a surgical navigation tool designed to deliver value-added information regarding mastery-level surgical performance strategies to a new group of hospital credentialed surgeons (N~125).