Department of Otolaryngology, Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Division of General Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
Br J Surg. 2021 Jun 22;108(6):613-621. doi: 10.1093/bjs/znab016.
Operating room recording, via video, audio and sensor-based recordings, is increasingly common. Yet, surgical data science is a new field without clear guidelines. The purpose of this study is to examine existing published studies of surgical recording modalities to determine which are available for use in the operating room, as a first step towards developing unified standards for this field.
Medline, EMBASE, CENTRAL and PubMed databases were systematically searched for articles describing modalities of data collection in the operating room. Search terms included 'video-audio media', 'bio-sensing techniques', 'sound', 'movement', 'operating rooms' and others. Title, abstract and full-text screening were completed to identify relevant articles. Descriptive statistical analysis was performed for included studies.
From 3756 citations, 91 studies met inclusion criteria. These studies described 10 unique data-collection modalities for 17 different purposes in the operating room. Data modalities included video, audio, kinematic and eye-tracking among others. Data-collection purposes described included surgical trainee assessment, surgical error, surgical team communication and operating room efficiency.
Effective data collection and utilization in the operating room are imperative for the provision of superior surgical care. The future operating room landscape undoubtedly includes multiple modalities of data collection for a plethora of purposes. This review acts as a foundation for employing operating room data in a way that leads to meaningful benefit for patient care.
通过视频、音频和基于传感器的记录进行手术室记录的做法越来越常见。然而,手术数据科学是一个新兴领域,尚无明确的指导方针。本研究的目的是检查现有的手术记录模式发表的研究,以确定哪些模式可在手术室中使用,这是为该领域制定统一标准的第一步。
系统地检索了 Medline、EMBASE、CENTRAL 和 PubMed 数据库中描述手术室数据采集模式的文章。搜索词包括“视频-音频媒体”、“生物感应技术”、“声音”、“运动”、“手术室”等。完成标题、摘要和全文筛选以确定相关文章。对纳入的研究进行描述性统计分析。
从 3756 条引文,91 项研究符合纳入标准。这些研究描述了手术室中 10 种独特的数据采集模式,用于 17 种不同的目的。数据模式包括视频、音频、运动学和眼动追踪等。描述的数据采集目的包括手术实习生评估、手术错误、手术团队沟通和手术室效率。
手术室中有效的数据收集和利用对于提供优质的手术护理至关重要。未来的手术室无疑将包括多种数据采集模式,用于多种目的。本综述为以有助于患者护理的方式利用手术室数据奠定了基础。