医疗放射技术专家模型:程序性镇静的流线型流程。

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES
Jennifer Meher, Julien Meyer, Annette Tracey, Housne Begum, Pria Nippak
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引用次数: 0

摘要

目的:程序性镇静是一种日益增长的常规镇静形式。其中一些可能不需要护士在场。本研究的目的是评估医学放射技师(MRT)模型的影响,该模型放弃了注册护士(RN)在计算机断层扫描活检过程中镇静的存在。背景是一家教学医院,从注册护士模式转变为MRT模式。我们比较了实施前后19个月的员工利用率、周转时间和事件报告。结果:两种模型均未见不良反应。等待时间从131分钟减少到98分钟,减少了25%。周转时间从52分钟减少到50分钟,减少了2分钟。每个手术的RN/MRIT联合成本从141美元减少到88美元,减少了37%。结论:这些结果表明MRT模式在不影响护理质量的情况下更具成本效益。MRT模式是有前途的,应该扩展到更多的设施和其他常规程序镇静,以节省时间和资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The medical radiation technologist model: a streamlined process for procedural sedations.

Objective: Procedural sedations are a growing and routine form of sedation. Some of them may not require the presence of a nurse. The purpose of this study is to assess the impact of the Medical Radiation Technologists (MRT) model, which forgo the presence of a Registered Nurse (RN), for procedural sedations in Computed Tomography biopsies. The setting was a teaching hospital that moved from an RN to an MRT model. We compared staff utilization, turnaround times and incident reports between pre and post implementation, over 19 months overall.

Results: No adverse events were observed under either model. Wait times were reduced by 25% from 131 to 98 min. Turnaround times were reduced by 2 min from 52 to 50 min. The joint cost of RN/MRIT was reduced by 37% per procedure, from $141 to $88.

Conclusion: These results suggest that the MRT model is more cost-effective without compromising quality of care. The MRT model is promising and should be extended to more facilities and other routine procedural sedations to save time and resources.

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来源期刊
BMC Research Notes
BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍: BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.
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