Extracting Subtask-specific Metrics Toward Objective Assessment of Needle Insertion Skill for Hemodialysis Cannulation.

Journal of medical robotics research Pub Date : 2019-09-01 Epub Date: 2020-04-14 DOI:10.1142/s2424905x19420066
Ziyang Zhang, Zhanhe Liu, Ravikiran Singapogu
{"title":"Extracting Subtask-specific Metrics Toward Objective Assessment of Needle Insertion Skill for Hemodialysis Cannulation.","authors":"Ziyang Zhang, Zhanhe Liu, Ravikiran Singapogu","doi":"10.1142/s2424905x19420066","DOIUrl":null,"url":null,"abstract":"<p><p>About 80% of all in-hospital patients require vascular access cannulation for treatments. However, there is a high rate of failure for vascular access cannulation, with several studies estimating up to a 50% failure rate for these procedures. Hemodialysis cannulation (HDC) is arguably one of the most difficult of these procedures with a steep learning curve and an extremely high failure rate. In light of this, there is a critical need that clinicians performing HDC have requisite skills. In this work, we present a method that combines the strengths of simulator-based objective skill quantification and task segmentation for needle insertion skill assessment at the subtask level. The results from our experimental study with seven novice nursing students on the cannulation simulator demonstrate that the simulator was able to segment needle insertion into subtask phases. In addition, most metrics were significantly different between the two phases, indicating that there may be value in evaluating participants' behavior at the subtask level. Further, the outcome metric (risk of infiltrating the simulated blood vessel) was successfully predicted by the process metrics in both phases. The implications of these results for skill assessment and training are discussed, which could potentially lead to improved patient outcomes if more extensive validation is pursued.</p>","PeriodicalId":73821,"journal":{"name":"Journal of medical robotics research","volume":"4 3-4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932179/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of medical robotics research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s2424905x19420066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/4/14 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

About 80% of all in-hospital patients require vascular access cannulation for treatments. However, there is a high rate of failure for vascular access cannulation, with several studies estimating up to a 50% failure rate for these procedures. Hemodialysis cannulation (HDC) is arguably one of the most difficult of these procedures with a steep learning curve and an extremely high failure rate. In light of this, there is a critical need that clinicians performing HDC have requisite skills. In this work, we present a method that combines the strengths of simulator-based objective skill quantification and task segmentation for needle insertion skill assessment at the subtask level. The results from our experimental study with seven novice nursing students on the cannulation simulator demonstrate that the simulator was able to segment needle insertion into subtask phases. In addition, most metrics were significantly different between the two phases, indicating that there may be value in evaluating participants' behavior at the subtask level. Further, the outcome metric (risk of infiltrating the simulated blood vessel) was successfully predicted by the process metrics in both phases. The implications of these results for skill assessment and training are discussed, which could potentially lead to improved patient outcomes if more extensive validation is pursued.

Abstract Image

Abstract Image

Abstract Image

提取特定子任务指标,客观评估血液透析置管针插入技能。
约有 80% 的住院病人需要血管通路插管进行治疗。然而,血管通路插管的失败率很高,一些研究估计这些手术的失败率高达 50%。血液透析插管(HDC)可以说是这些手术中最难的一种,学习曲线陡峭,失败率极高。有鉴于此,执行 HDC 的临床医生亟需掌握必要的技能。在这项工作中,我们提出了一种方法,该方法结合了基于模拟器的客观技能量化和任务细分的优势,可在子任务级别上对插针技能进行评估。我们在插管模拟器上对七名新手护理学生进行的实验研究结果表明,模拟器能够将插针细分为子任务阶段。此外,大多数指标在两个阶段之间存在显著差异,这表明在子任务层面对参与者的行为进行评估是有价值的。此外,结果指标(渗入模拟血管的风险)在两个阶段都能通过过程指标成功预测。讨论了这些结果对技能评估和培训的影响,如果进行更广泛的验证,有可能会改善患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.10
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信