识别用于放射治疗的用户辅助系统，以提高效率并助力挽救生命。
Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives.
作者信息
Müller-Polyzou Ralf, Reuter-Oppermann Melanie, Engbert Anke, Schmidt Raphael
机构信息
Institute for Product and Process Innovation , Leuphana University Lueneburg, Lueneburg, Germany.
Technical University of Darmstadt, Information Systems, Darmstadt, Germany.
出版信息
Health Syst (Basingstoke). 2020 Aug 30;10(4):318-336. doi: 10.1080/20476965.2020.1803148. eCollection 2021.
Increasing efficiency and reducing risk in radiotherapy cancer treatment is of high importance. User assistance systems within a digitally connected radiotherapy environment can support all involved professionals to perform their individual tasks faster and better. This paper presents a qualitative analysis of radiotherapy workflows and a corresponding process modelling in order to identify hypothetical user assistance systems for specific process activities. In addition, the results of an empirical study on the identified systems are presented together with derived requirements and design principles for these systems. A structured online survey with 50 medical physicists in Germany has been conducted. Among others the acceptance, the increase of perceived efficiency and the risk reduction while using the assistance systems are analysed and discussed. The results support the creation of value adding user assistance systems for radiotherapy that improve efficiency, reduce treatment risks and reach high user acceptance levels.
提高放射治疗癌症的效率并降低风险至关重要。数字连接的放射治疗环境中的用户辅助系统可以支持所有相关专业人员更快、更好地完成各自任务。本文对放射治疗工作流程进行了定性分析并进行了相应的流程建模，以确定针对特定流程活动的假设用户辅助系统。此外，还介绍了对已识别系统的实证研究结果，以及这些系统的衍生需求和设计原则。对德国50名医学物理学家进行了一项结构化在线调查。除其他外，还对使用辅助系统时的接受度、感知效率的提高和风险降低进行了分析和讨论。结果支持创建为放射治疗增加价值的用户辅助系统，这些系统可提高效率、降低治疗风险并达到较高的用户接受度水平。
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