基于SHEL模型的智慧骨科机器人术中突发不良事件核查清单的研究

Constructing a introperative emergency checklist for intelligent orthopedic robot surgery based on SHEL Model

  • 摘要:
    背景 智慧型骨科机器人手术虽能提升精确性和安全性,但其术中可能因算法错误、机械故障或人为操作问题引发突发不良事件,而现有指南缺乏系统化的应急策略。
    目的 构建智慧骨科机器人术中突发不良事件核查清单。
    方法 基于SHEL模型,通过研究相关文献和理论分析搭建智慧骨科机器人术中突发不良事件核查体系的初步清单;采用专家函询法,对17名相关领域专家开展两轮函询,最终确定核查清单。
    结果 根据SHEL模型,将术中突发不良事件的风险点划分为软件相关事故、硬件相关事故、环境相关事故、人员相关事故、交互相关事故5个维度,最终形成包括5个一级条目、15个二级条目、35个三级条目的智慧骨科机器人突发不良事件核查清单。
    结论 基于SHEL模型构建了智慧骨科机器人术中突发不良事件核查清单,以期凭借其全面性、科学性、实用性与可行性,提高智慧骨科机器人手术的管理水平,降低突发不良事件发生率,确保手术质量和患者生命安全。

     

    Abstract:
    Background Although intelligent orthopedic robotic surgery can enhance precision and safety, intraoperative emergencies may arise due to algorithm errors, mechanical failures, or human operational mistakes. However, existing guidelines lack systematic emergency response strategies.
    Objective To develop an intraoperative emergency checklist for intelligent orthopedic robots.
    Methods Based on the SHEL model, a preliminary framework for the emergency checklist system during surgeries with intelligent orthopedic robots was established through literature review and theoretical analysis. The expert consultation method was employed, involving two rounds of Delphi surveys conducted with 17 experts in relevant fields to finalize the checklist.
    Results Following the SHEL model, the risk points for intraoperative emergencies were categorized into five dimensions: software-related incidents, hardware-related incidents, environment-related incidents, personnel-related incidents, and interaction-related incidents. Ultimately, a checklist for intelligent orthopedic robot emergencies was constructed, consisting of 5 primary items, 15 secondary items, and 35 tertiary items.
    Conclusion The intraoperative emergency checklist for intelligent orthopedic robots has been constructed based on the SHEL model. With its comprehensiveness, scientific rigor, practicality, and feasibility, the checklist aims to enhance the management of intelligent orthopedic robot surgeries, reduce emergency incidence rates, and ensure surgical quality and patient safety.

     

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