Medical Imaging Department, Townsville University Hospital, Douglas, Qld 4814, Australia; and College of Medicine and Dentistry, James Cook University, Townsville, Qld 4810, Australia; and School of Population Health, Faculty of Medicine, UNSW Sydney, NSW 2052, Australia. Email:
Townsville University Hospital, 100 Angus Smith Drive, Douglas, Qld 4814, Australia. Email:
Aust Health Rev. 2021 Jun;45(3):382-388. doi: 10.1071/AH20118.
Objectives This study evaluated multiple computed tomography (CT) workforce models to identify any implications on efficiency (length of stay, scan frequency and workforce cost) and scanning radiographer interruptions through substituting or supplementing with a trained CT assistant. Methods The study was conducted in a CT unit of a tertiary Queensland hospital and prospectively compared four workforce models, including usual practice: Model 1 used an administrative assistant (AA) and one radiographer; Model 2 substituted a medical imaging assistant (MIA) for the AA; Model 3 was usual practice, consisting of two radiographers; and Model 4 included two radiographers, with a supplemented MIA. Observational data were collected over 7 days per model and were cross-checked against electronic records. Data for interruption type and frequency, as well as scan type and duration, were collected. Annual workforce costs were calculated as measures of efficiency. Results Similar scan frequency and parameters (complexity) occurred across all models, averaging 164 scans (interquartile range 160-172 scans) each. The median times from patient arrival to examination completion in Models 1-4 were 47, 35, 46 and 33min respectively. There were between 34 and 104 interruptions per day across all models, with the 'assistant role' fielding the largest proportion. Model 4 demonstrated the highest workforce cost, and Model 2 the lowest. Conclusion This study demonstrated that assistant models offer similar patient throughput to usual practice at a reduced cost. Model 2 was the most efficient of all two-staff models (Models 1-3), offering the cheapest workforce, slightly higher throughput and faster examination times. Not surprisingly, the additional staff model (Model 4) offered greater overall examination times and throughput, with fewer interruptions, although workforce cost and possible role ambiguity were both limitations of this model. These findings may assist decision makers in selecting the optimal workforce design for their own individual contexts. What is known about the topic? Innovative solutions are required to address ongoing health workforce sustainability concerns. Workforce substitution models using trained assistants have demonstrated numerous benefits internationally, with translation to the Australian allied health setting showing promise. What does this paper add? Building on existing research, this study provides clinical workforce alternatives that maintain patient throughput while offering cost efficiencies. This study also quantified the many daily interruptions that occur within the CT setting, highlighting a potential clinical risk. To the best of our knowledge, this study is the first to empirically test the use of allied health assistants within CT. What are the implications for practitioners? Role substitution in CT may offer solutions to skills shortages, increasing expenditure and service demand. Incorporating appropriate assistant workforce models can maintain throughput while demonstrating implications for efficiency and interruptions, potentially affecting staff stress and burnout. In addition, the assistant's scope and accepted level of interruptions should be considerations when choosing the most appropriate model.
目的 本研究评估了多种计算机断层扫描 (CT) 劳动力模型,以确定通过替代或补充经过培训的 CT 助手对效率 (停留时间、扫描频率和劳动力成本) 和扫描放射技师中断的任何影响。
方法 该研究在昆士兰州一家三级医院的 CT 科室进行,前瞻性地比较了四种劳动力模型,包括常规实践:模型 1 使用行政助理 (AA) 和一名放射技师;模型 2 用医学影像助理 (MIA) 替代 AA;模型 3 是常规实践,由两名放射技师组成;模型 4 包括两名放射技师,并补充了一名 MIA。每种模型都连续 7 天收集观察数据,并与电子记录交叉核对。收集中断类型和频率以及扫描类型和持续时间的数据。计算年度劳动力成本作为效率的衡量标准。
结果 所有模型的扫描频率和参数(复杂性)相似,平均为 164 次扫描(四分位间距 160-172 次扫描)。模型 1-4 中从患者到达到检查完成的中位数时间分别为 47、35、46 和 33 分钟。所有模型每天有 34 至 104 次中断,其中“助理角色”占比最大。模型 4 的劳动力成本最高,模型 2 的劳动力成本最低。
结论 本研究表明,助理模型在降低成本的同时提供了类似的患者吞吐量。在所有两名工作人员的模型中(模型 1-3),模型 2 是最有效的,提供了最便宜的劳动力,稍高的吞吐量和更快的检查时间。毫不奇怪,额外的人员配备模型(模型 4)提供了更大的整体检查时间和吞吐量,中断次数更少,尽管劳动力成本和可能的角色模糊性都是该模型的限制因素。这些发现可能有助于决策者根据自己的具体情况选择最佳的劳动力设计。
主题已知内容是什么?需要创新解决方案来解决持续的卫生劳动力可持续性问题。国际上已经证明了使用经过培训的助手的劳动力替代模型具有诸多优势,并且在澳大利亚辅助医疗领域的应用也具有广阔的前景。
本文增加了什么新内容?在现有研究的基础上,本研究提供了维持患者吞吐量的临床劳动力替代方案,同时具有成本效益。本研究还量化了 CT 环境中每天发生的许多中断,突出了潜在的临床风险。据我们所知,这是首次在 CT 中对辅助卫生人员的使用进行实证测试。
对从业者的影响是什么?在 CT 中替代角色可能为技能短缺、增加支出和服务需求提供解决方案。结合适当的助理劳动力模型可以维持吞吐量,同时对效率和中断产生影响,可能会影响员工的压力和倦怠。此外,在选择最合适的模型时,应该考虑助手的范围和可接受的中断水平。