协作、中断与转换时间:工作流程模型与医院医师图表的实证研究

Itai Gurvich, K. O’Leary, Lu Wang, Jan A. Van Mieghem
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引用次数: 9

摘要

协作在服务中很重要,但可能导致中断。专业人士会自行决定是否先完成个人任务,然后转向协作任务。在恢复被抢占的任务时,任务切换可能会引入设置时间,通常是精神上的和不可观察的,因此可能会增加工作量。我们通过中断和设置时间来分析和量化协作如何影响工作负载。我们介绍了一个插曲工作流模型,它捕获了中断动态-每个开关和它抢占的工作插曲-出现在协作和多任务处理至关重要的设置中。然后,我们将该模型应用于对医院内科医生(“医院医师”)的实地研究。医院医生的病人护理例行工作包括拜访病人和咨询其他护理人员,以指导病人的诊断和治疗。一个严格的实证分析提出了使用数据集组装从直接观察医生的活动和寻呼机日志数据。我们估计,一名住院医生每天在每个病人身上花费的总设置时间为5分钟,占工作量的20%:每天照顾14名病人,一名住院医生每天在设置上花费的时间超过1小时。开关通常会导致更长的记录时间,但影响的大小取决于触发器:当开关由医院医生触发时,设置时间会更短。
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Collaboration, Interruptions and Changeover Times: Workflow Model and Empirical Study of Hospitalist Charting
Collaboration is important in services, but may lead to interruptions. Professionals exercise discretion on whether to preempt individual tasks to switch to collaborative tasks. Task switching can introduce setup times, often mental and unobservable, when resuming the preempted task and thus can increase workload.We analyze and quantify how collaboration, through interruptions and setup times, affects workload. We introduce an episodal workflow model that captures the interruption dynamics — each switch and the episode of work it preempts — present in settings where collaboration and multitasking is paramount. We then deploy the model in a field study of hospital medicine physicians — “hospitalists.” A hospitalist’s patient-care routine includes visiting patients and consulting with other caregivers to guide patient diagnosis and treatment.A rigorous empirical analysis is presented using a dataset assembled from direct observation of physician activity and pager-log data. We estimate that a hospitalist incurs a total setup time of 5min per patient per day, which represents a significant 20% of the workload: caring for 14 patients per day, a hospitalist spends more than one hour each day on setups. Switches causally lead to longer documentation time in general but the magnitude of the effect depends on the trigger: when the switch is triggered by the hospitalist the setup time is smaller.
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