目标：手术工作流系统地将手术操作划分为阶段、步骤、工具、技术错误和事件错误的层级组成部分。手术工作流为教育、培训和理解手术变异提供基础。在本部分中，我们提供了一种针对前床突入路切除前庭神经瘤的编码手术工作流。方法：我们与英国颅底学会（BSBS）合作进行了文献综述、小组Delphi共识和全国Delphi共识的混合方法共识过程。每一轮Delphi共识都进行多次重复，直到实现数据饱和和超过90%的共识。结果：共有18名顾问颅底外科医师（10名神经外科医生和8名耳鼻喉科医生），具有中位数17.9年的独立执业经验（四分位数范围: 17.5年）。在Delphi的两轮中均达到100%的回应率。前床突入路的手术工作流包含三个阶段和40个独特的步骤，具体如下：第一阶段，途径和显露；第二阶段，肿瘤清除和切除；第三阶段，关闭。对于前床突入路，还描述了每个手术步骤的技术和事件错误。结论：我们在本文中提供了一个基于全国多中心共识的编码前床突入路切除前庭神经瘤的手术工作流。这个编码的前床突入路可以作为未来工作的基础研究，如手术工作流分析或神经外科模拟和教育。作者：本文是由Thieme在Creative Commons Attribution License的条款下发表的开放获取文章，允许无限制使用、分发和再制作，只要原始作品被正确引用。（https://creativecommons.org/licenses/by/4.0/）。

Objective  An operative workflow systematically compartmentalizes operations into hierarchal components of phases, steps, instrument, technique errors, and event errors. Operative workflow provides a foundation for education, training, and understanding of surgical variation. In this Part 1, we present a codified operative workflow for the retrosigmoid approach to vestibular schwannoma resection. Methods  A mixed-method consensus process of literature review, small-group Delphi's consensus, followed by a national Delphi's consensus, was performed in collaboration with British Skull Base Society (BSBS). Each Delphi's round was repeated until data saturation and over 90% consensus was reached. Results  Eighteen consultant skull base surgeons (10 neurosurgeons and 8 ENT [ear, nose, and throat]) with median 17.9 years of experience (interquartile range: 17.5 years) of independent practice participated. There was a 100% response rate across both Delphi's rounds. The operative workflow for the retrosigmoid approach contained three phases and 40 unique steps as follows: phase 1, approach and exposure; phase 2, tumor debulking and excision; phase 3, closure. For the retrosigmoid approach, technique, and event error for each operative step was also described. Conclusion  We present Part 1 of a national, multicenter, consensus-derived, codified operative workflow for the retrosigmoid approach to vestibular schwannomas that encompasses phases, steps, instruments, technique errors, and event errors. The codified retrosigmoid approach presented in this manuscript can serve as foundational research for future work, such as operative workflow analysis or neurosurgical simulation and education.The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. ( https://creativecommons.org/licenses/by/4.0/ ).