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基于Kaiser模型的灾害脆弱性分析在CT-Sim定位中的应用

何勇 李林涛 梁旭 王宇

肿瘤预防与治疗2024,Vol.37Issue(9):781-786,6.
肿瘤预防与治疗2024,Vol.37Issue(9):781-786,6.DOI:10.3969/j.issn.1674-0904.2024.09.007

基于Kaiser模型的灾害脆弱性分析在CT-Sim定位中的应用

Application of Hazard Vulnerability Analysis Based on Kaiser Model in CT-Sim Localization

何勇 1李林涛 1梁旭 2王宇1

作者信息

  • 1. 610041 成都,四川省肿瘤临床医学研究中心,四川省肿瘤医院·研究所,四川省癌症防治中心,电子科技大学附属肿瘤医院放疗中心
  • 2. 610041 成都,四川省肿瘤临床医学研究中心,四川省肿瘤医院·研究所,四川省癌症防治中心,电子科技大学附属肿瘤医院影像科
  • 折叠

摘要

Abstract

Objective:Hazard vulnerability analysis was used to identify the patient's safety risk factors in computed tomography simulation(CT-SIM)localization,and to identify the key factors and preventive measures.Methods:A total of 21 experts in CT-Sim from radiotherapy centers in China were invited to conduct an investigation and study.Using Kaiser model,the safety risk factors of patients during CT-Sim were identified by brainstorming among the experts.Factors were en-tered into the Kaiser model and assessed from both the probability and the harmfulness of the risk factors.With the probabili-ty of occurrence weighted and the severity score statistically processed,calculate the relative risk coefficient of each risk fac-tor.Results:The top 5 safety risk factors during CT-Sim were fracture risk coefficient of bone metastasis patients(47.18%),scan failure risk coefficient of non-cooperation of children pa-tients(43.56%),image error risk coefficient of irregular breathing of patients(43.47%),asphyxia risk coefficient of high-risk patients(39.15%),and asphyxia risk coefficient of anaphylaxis of patients during enhanced scan(37.13%).Conclusion:The application of hazard vulnerability analysis to evaluate the risk factors of CT-Sim is helpful for CT-Sim lo-calization workers to understand the key risk factors,carry out coping exercises and improve medical safety.

关键词

CT模拟定位/灾害脆弱性分析/风险事件/患者安全

Key words

CT simulation localization/Hazard vulnerability analysis/Risk event/Patient safety

分类

医药卫生

引用本文复制引用

何勇,李林涛,梁旭,王宇..基于Kaiser模型的灾害脆弱性分析在CT-Sim定位中的应用[J].肿瘤预防与治疗,2024,37(9):781-786,6.

基金项目

成都市科技局技术创新研发项目(编号:2022-YF05-01812-SN) This study was supported by grants from Chengdu Science and Technology Bureau(No.2022-YF05-01812-SN). (编号:2022-YF05-01812-SN)

肿瘤预防与治疗

OACSTPCD

1674-0904

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