基于结构方程模型的5G远程超声诊断机器人满意度分析

IF 2.9 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2024-10-09 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1413065
Zhi-Li Han, Yu-Meng Lei, Jing Yu, Bing-Song Lei, Hua-Rong Ye, Ge Zhang
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引用次数: 0

摘要

目的:随着 5G 远程超声波机器人在医疗保健领域的应用日益广泛,迫切需要可靠的方法来评估参与者的满意度并确定其影响因素。目前,有关 5G 远程超声机器人检查参与者多参数、多维度满意度评估的实证研究十分有限。以往的研究表明,结构方程模型(SEM)能有效地整合各种统计技术来考察多个变量之间的关系。因此,本研究旨在利用SEM评估参与者对5G远程超声机器人检查的满意度及其影响因素:2022年4月至6月期间,武汉汽车制造公司的213名参与者使用MGIUS-R3远程超声机器人系统进行了远程超声检查。检查结束后,参与者根据个人体验和情绪反应对 5G 远程超声机器人的性能进行了评价。他们使用自主开发的问卷完成了满意度调查,问卷包括检查效率、检查感知、沟通感知、价值感知和检查意愿五个维度的 19 个项目。建立了一个 SEM 来评估参与者对 5G 远程超声机器人检查的满意度和影响因素:结果:共收集到 201 份有效问卷。参与者对 5G 远程超声机器人检查的总体满意度为(45.43±11.60)分,其中 169 人(84%)表示满意。在路径假设关系检验中,检查效率、检查感知、沟通感知和价值感知对满意度有正向影响,标准化路径系数分别为 0.168、0.170、0.175 和 0.191。满意度对考试意愿有直接的正向影响,标准化路径系数为 0.260。不同教育水平的受试者在考试认知、沟通认知、价值认知和考试意愿方面存在显著差异。不同体重指数的参与者在考试认知方面也存在显著差异;所有 p 值均小于 0.05:在本研究中,价值感被认为是影响满意度的最重要因素。可以通过加强参与者对 5G 远程超声机器人检查的准确性和安全性的了解来提高满意度。这将提高满意度和接受检查的意愿。这种改善不仅有助于该技术的广泛应用,还能促进远程医疗服务的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Satisfaction analysis of 5G remote ultrasound robot for diagnostics based on a structural equation model.

Objectives: With the increasing application of 5G remote ultrasound robots in healthcare, robust methods are in critical demand to assess participant satisfaction and identify its influencing factors. At present, there is limited empirical research on multi-parametric and multidimensional satisfaction evaluation of participants with 5G remote ultrasound robot examination. Previous studies have demonstrated that structural equation modeling (SEM) effectively integrates various statistical techniques to examine the relationships among multiple variables. Therefore, this study aimed to evaluate the satisfaction of participants with 5G remote ultrasound robot examination and its influencing factors using SEM.

Methods: Between April and June 2022, 213 participants from Wuhan Automobile Manufacturing Company underwent remote ultrasound examinations using the MGIUS-R3 remote ultrasound robot system. After these examinations, the participants evaluated the performance of the 5G remote ultrasound robot based on their personal experiences and emotional responses. They completed a satisfaction survey using a self-developed questionnaire, which included 19 items across five dimensions: examination efficiency, examination perception, communication perception, value perception, and examination willingness. A SEM was established to assess the satisfaction of participants with the 5G remote ultrasound robot examinations and the influencing factors.

Results: A total of 201 valid questionnaires were collected. The overall satisfaction of participants with the 5G remote ultrasound robot examination was 45.43 ± 11.60, with 169 participants (84%) expressing satisfaction. In the path hypothesis relationship test, the dimensions of examination efficiency, examination perception, communication perception, and value perception had positive effects on satisfaction, with standardized path coefficients of 0.168, 0.170, 0.175, and 0.191. Satisfaction had a direct positive effect on examination willingness, with a standardized path coefficient of 0.260. Significant differences were observed across different educational levels in the dimensions of examination perception, communication perception, value perception, and examination willingness. Participants with different body mass indices also showed significant differences in examination perception; all p-values were less than 0.05.

Conclusion: In this study, value perception was identified as the most significant factor influencing satisfaction. It could be improved by enhancing participants' understanding of the accuracy and safety of 5G remote ultrasound robot examinations. This enhances satisfaction and the willingness to undergo examinations. Such improvements not only facilitate the widespread adoption of this technology but also promote the development of telemedicine services.

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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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