Virtual Monitoring Technician Performance in High-Fidelity Simulations of Remote Patient Monitoring: An Exploratory Study.

IF 2.1 3区 医学 Q3 HEALTH CARE SCIENCES & SERVICES Simulation in Healthcare-Journal of the Society for Simulation in Healthcare Pub Date : 2025-10-01 Epub Date: 2025-01-13 DOI:10.1097/SIH.0000000000000843
Harsh Sanghavi, Yuhao Peng, Emmanuel Tetteh, Sarah Henrickson Parker, Laurie D Wolf
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Abstract

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.

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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
简介:虚拟监测技术人员(vmt)在远程监测住院病人遥测中至关重要。然而,对于VMT工作量和任务内性能变化及其对患者安全的潜在影响知之甚少。这项探索性研究使用了高保真度模拟,旨在评估遥测监测中vmt的工作量和性能随时间的变化,并确定未来性能改进的研究方向。方法:研究小组创建了一个模拟当前远程遥测站,其中有36个患者波形,横跨3个屏幕和一个文档屏幕,复制vmt的工作。12名vmt参加了1小时的会议,并记录了升级时间和检测到听觉/视觉警报的准确性。工作负荷是用nasa任务负荷指数测量的。结果:任务后的nasa任务负荷指数得分显示,工作负荷得分从100分中的38分增加到64分,其中精神和时间需求是最大的贡献者。随着时间的推移,自动驾驶汽车的表现没有显著变化,正确的反应率为52%。参与者检测信号的能力略好于偶然性(d' = 0.477),他们倾向于谨慎的回答,β (M = 1.989, SD = 1.635)。紧急、警告和中等视听警报分别在9秒、35秒和39秒内被识别,而咨询警报(仅视觉)在13分钟内被识别。结论:本研究为今后开展VMT工作量预期研究奠定了基础。虽然我们的工作是探索性的,但结果表明,VMT工作量显著增加,但性能没有下降;自动驾驶汽车对紧急警报的反应最迅速、最准确,而对非紧急警报的总体反应准确性略好于偶然性。未来的研究需要探索提高反应准确率的技术,超过本研究测量的52%。
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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.
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