Mastrianni Angela, Sarcevic Aleksandra, Cui Hua, Krentsa Megan A, Zakeri Issa, Sullivan Travis M, Burd Randall S, Marsic Ivan
Drexel University, Philadelphia, USA.
Children's National Hospital, Washington, D.C., USA.
DIS (Des Interact Syst Conf). 2023 Jul;2023:1293-1308. doi: 10.1145/3563657.3595979. Epub 2023 Jul 10.
Automatically integrating data within interactive clinical checklists allows for enhanced dynamic displays, while also providing information needed for checklist adaptation to the context of the medical event. In this mixed-methods study, we used user-centered design sessions with clinicians to design a checklist interface that automatically captures and displays dynamic patient data. We compared the manual and automatic checklist versions during video-guided simulation sessions, evaluating the effects of automatic capture on clinicians' interactions with dynamic data and their situation awareness. Despite clinicians' concerns that automatic data capture would affect situation awareness, we found no significant difference in awareness scores. Participants preferred the automatic version, highlighting its improved accuracy and completeness. From our findings, we propose a framework for capturing dynamic data and designing dynamic data interfaces within interactive checklists. We conclude by discussing barriers and design opportunities for supporting awareness of data trends through checklists.
在交互式临床检查表中自动整合数据可实现增强的动态显示,同时还能提供检查表根据医疗事件背景进行调整所需的信息。在这项混合方法研究中,我们与临床医生进行了以用户为中心的设计会议,以设计一个能自动捕获和显示动态患者数据的检查表界面。我们在视频引导的模拟会议期间比较了手动和自动检查表版本,评估自动捕获对临床医生与动态数据交互及其态势感知的影响。尽管临床医生担心自动数据捕获会影响态势感知,但我们发现感知分数没有显著差异。参与者更喜欢自动版本,强调其提高的准确性和完整性。根据我们的研究结果,我们提出了一个在交互式检查表中捕获动态数据和设计动态数据界面的框架。我们通过讨论通过检查表支持对数据趋势的感知的障碍和设计机会来得出结论。