虚拟监护技术人员在远程患者监护高保真模拟中的表现:一项探索性研究

IF 1.7 3区 医学 Q3 HEALTH CARE SCIENCES & SERVICES Simulation in Healthcare-Journal of the Society for Simulation in Healthcare Pub Date : 2025-01-13 DOI:10.1097/SIH.0000000000000843
Harsh Sanghavi, Yuhao Peng, Emmanuel Tetteh, Sarah Henrickson Parker, Laurie D Wolf
{"title":"虚拟监护技术人员在远程患者监护高保真模拟中的表现:一项探索性研究","authors":"Harsh Sanghavi, Yuhao Peng, Emmanuel Tetteh, Sarah Henrickson Parker, Laurie D Wolf","doi":"10.1097/SIH.0000000000000843","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Virtual Monitor Technicians (VMTs) are crucial in remotely monitoring inpatient telemetry. However, little is known about VMT workload and intratask performance changes, and their potential impact on patient safety. This exploratory study used a high-fidelity simulation aimed to evaluate VMTs' workload and performance changes over time in telemetry monitoring and identify future research directions for performance improvement.</p><p><strong>Methods: </strong>The research team created a simulation of the current remote telemetry stations with 36 patient waveforms across 3 screens alongside a documentation screen, replicating VMTs' work. Twelve VMTs participated in a 1-hour session, and time-to-escalate and detection accuracy to auditory/visual alerts were recorded. Workload was measured using the NASA-Task Load Index.</p><p><strong>Results: </strong>The post-task NASA-Task Load Index score showed an increased workload score of 64 of 100 from a prescore of 38 of 100, with mental and temporal demands being the largest contributors. The performance of VMTs did not change significantly over time, with a 52% correct response rate. Participants' ability to detect signals was slightly better than chance (d' = 0.477), and they tended to be cautious in their responses, β (M = 1.989, SD = 1.635). Urgent, Warning, and Medium audiovisual alerts were recognized in 9, 35, and 39 seconds, respectively, whereas advisory alerts (visual only) were recognized in 13 minutes.</p><p><strong>Conclusion: </strong>This study sets a foundation for future work on VMT workload expectations. Although our work is exploratory, the results indicate a significant increase in VMT workload with no decline in performance; VMTs responded most quickly and accurately to urgent alerts, whereas overall response accuracy to nonurgent alerts was marginally better than chance. Future research needs to explore techniques to improve response accuracy rate beyond the 52% measured in this study.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Virtual Monitoring Technician Performance in High-Fidelity Simulations of Remote Patient Monitoring: An Exploratory Study.\",\"authors\":\"Harsh Sanghavi, Yuhao Peng, Emmanuel Tetteh, Sarah Henrickson Parker, Laurie D Wolf\",\"doi\":\"10.1097/SIH.0000000000000843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Virtual Monitor Technicians (VMTs) are crucial in remotely monitoring inpatient telemetry. However, little is known about VMT workload and intratask performance changes, and their potential impact on patient safety. This exploratory study used a high-fidelity simulation aimed to evaluate VMTs' workload and performance changes over time in telemetry monitoring and identify future research directions for performance improvement.</p><p><strong>Methods: </strong>The research team created a simulation of the current remote telemetry stations with 36 patient waveforms across 3 screens alongside a documentation screen, replicating VMTs' work. Twelve VMTs participated in a 1-hour session, and time-to-escalate and detection accuracy to auditory/visual alerts were recorded. Workload was measured using the NASA-Task Load Index.</p><p><strong>Results: </strong>The post-task NASA-Task Load Index score showed an increased workload score of 64 of 100 from a prescore of 38 of 100, with mental and temporal demands being the largest contributors. The performance of VMTs did not change significantly over time, with a 52% correct response rate. Participants' ability to detect signals was slightly better than chance (d' = 0.477), and they tended to be cautious in their responses, β (M = 1.989, SD = 1.635). Urgent, Warning, and Medium audiovisual alerts were recognized in 9, 35, and 39 seconds, respectively, whereas advisory alerts (visual only) were recognized in 13 minutes.</p><p><strong>Conclusion: </strong>This study sets a foundation for future work on VMT workload expectations. Although our work is exploratory, the results indicate a significant increase in VMT workload with no decline in performance; VMTs responded most quickly and accurately to urgent alerts, whereas overall response accuracy to nonurgent alerts was marginally better than chance. Future research needs to explore techniques to improve response accuracy rate beyond the 52% measured in this study.</p>\",\"PeriodicalId\":49517,\"journal\":{\"name\":\"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/SIH.0000000000000843\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/SIH.0000000000000843","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Virtual Monitoring Technician Performance in High-Fidelity Simulations of Remote Patient Monitoring: An Exploratory Study.

Introduction: Virtual Monitor Technicians (VMTs) are crucial in remotely monitoring inpatient telemetry. However, little is known about VMT workload and intratask performance changes, and their potential impact on patient safety. This exploratory study used a high-fidelity simulation aimed to evaluate VMTs' workload and performance changes over time in telemetry monitoring and identify future research directions for performance improvement.

Methods: The research team created a simulation of the current remote telemetry stations with 36 patient waveforms across 3 screens alongside a documentation screen, replicating VMTs' work. Twelve VMTs participated in a 1-hour session, and time-to-escalate and detection accuracy to auditory/visual alerts were recorded. Workload was measured using the NASA-Task Load Index.

Results: The post-task NASA-Task Load Index score showed an increased workload score of 64 of 100 from a prescore of 38 of 100, with mental and temporal demands being the largest contributors. The performance of VMTs did not change significantly over time, with a 52% correct response rate. Participants' ability to detect signals was slightly better than chance (d' = 0.477), and they tended to be cautious in their responses, β (M = 1.989, SD = 1.635). Urgent, Warning, and Medium audiovisual alerts were recognized in 9, 35, and 39 seconds, respectively, whereas advisory alerts (visual only) were recognized in 13 minutes.

Conclusion: This study sets a foundation for future work on VMT workload expectations. Although our work is exploratory, the results indicate a significant increase in VMT workload with no decline in performance; VMTs responded most quickly and accurately to urgent alerts, whereas overall response accuracy to nonurgent alerts was marginally better than chance. Future research needs to explore techniques to improve response accuracy rate beyond the 52% measured in this study.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.00
自引率
8.30%
发文量
158
审稿时长
6-12 weeks
期刊介绍: Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare is a multidisciplinary publication encompassing all areas of applications and research in healthcare simulation technology. The journal is relevant to a broad range of clinical and biomedical specialties, and publishes original basic, clinical, and translational research on these topics and more: Safety and quality-oriented training programs; Development of educational and competency assessment standards; Reports of experience in the use of simulation technology; Virtual reality; Epidemiologic modeling; Molecular, pharmacologic, and disease modeling.
期刊最新文献
Virtual Monitoring Technician Performance in High-Fidelity Simulations of Remote Patient Monitoring: An Exploratory Study. Bridging Two Worlds: A Basic Scientist's Transformative Path in Healthcare Simulation. Measuring Residents' Competence in Chest Tube Insertion on Thiel-Embalmed Bodies: A Validity Study. Call to Action: Honoring Simulated Participants and Collaborating With Simulated Participant Educators. When Simulation Becomes Reality.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1