A Perioperative Care Display for Understanding High Acuity Patients.
A Perioperative Care Display for Understanding High Acuity Patients.
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用于了解高危患者的围手术期护理展示。
DOI：
10.1055/s-0041-1723023
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发表时间：
2021
影响因子：
2.9
通讯作者：
Lasko,ThomasA
中科院分区：
文献类型：
--
作者：
Novak,LaurieLovett;Wanderer,Jonathan;Owens,DavidA;Fabbri,Daniel;Genkins,JulianZ;Lasko,ThomasA
背景数据可视化文献声称，最佳数据显示的细节必须根据特定的任务、用户的背景和数据的特性进行调整。一个面向概念的显示的一般组织原则是已知的是有用的许多任务和datatypes.ObjectivesIn这个项目中，我们使用的数据可视化和协同设计过程的一般原则，以产生一个临床显示量身定制的特定的认知任务，从麻醉域中选择，但具有明确的概括性，以其他临床任务。为了支持麻醉主管（AIC）的工作，我们的任务是，在给定的一天，描述收集的将在第二天进行手术的患者中的每例患者的敏锐度水平和复杂性。AIC使用这些信息来优化分配麻醉工作人员和供应商在operating rooms.MethodsWe使用了一个共同设计的过程中，与参与者谁在AIC的角色工作。我们对AIC进行了两次深入访谈，并让他们参与迭代设计解决方案的后续输入。ResultsThrough a co-design process，我们发现（1）需要仔细匹配显示器中的详细程度以满足临床任务所需的水平，（2）屏幕上不相关信息（如仅与其他任务相关的图标）引起的阻抗，和（3）一个具体的，但可选的轨迹越来越详细的文本summarization.ConclusionThis研究报告的愿望，一个真实世界的临床信息学开发项目，从事用户作为共同设计者。我们的过程导致了用户首选的单一二进制标志设计，以识别需要进一步调查的患者子集，然后为每个患者提供越来越详细的基于文本的抽象轨迹，当需要更多信息时可以显示。
BackgroundThe data visualization literature asserts that the details of the optimal data display must be tailored to the specific task, the background of the user, and the characteristics of the data. The general organizing principle of a concept-oriented display is known to be useful for many tasks and data types.ObjectivesIn this project, we used general principles of data visualization and a co-design process to produce a clinical display tailored to a specific cognitive task, chosen from the anesthesia domain, but with clear generalizability to other clinical tasks. To support the work of the anesthesia-in-charge (AIC) our task was, for a given day, to depict the acuity level and complexity of each patient in the collection of those that will be operated on the following day. The AIC uses this information to optimally allocate anesthesia staff and providers across operating rooms.MethodsWe used a co-design process to collaborate with participants who work in the AIC role. We conducted two in-depth interviews with AICs and engaged them in subsequent input on iterative design solutions.ResultsThrough a co-design process, we found (1) the need to carefully match the level of detail in the display to the level required by the clinical task, (2) the impedance caused by irrelevant information on the screen such as icons relevant only to other tasks, and (3) the desire for a specific but optional trajectory of increasingly detailed textual summaries.ConclusionThis study reports a real-world clinical informatics development project that engaged users as co-designers. Our process led to the user-preferred design of a single binary flag to identify the subset of patients needing further investigation, and then a trajectory of increasingly detailed, text-based abstractions for each patient that can be displayed when more information is needed.