The design and evaluation of a graphical display for laboratory data
The design and evaluation of a graphical display for laboratory data
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DOI：
10.1136/jamia.2009.000505
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发表时间：
2010-07-01
影响因子：
6.4
通讯作者：
Brown, Patrick J.
中科院分区：
文献类型：
--
作者：
Bauer, David T.;Guerlain, Stephanie;Brown, Patrick J.
目标 医疗保健信息技术的进步提供了以新的、更有效的方式呈现数据的机会。在这项研究中，我们设计了一种实验室显示器，其特征是称为迷你图的小型数据密集图形，该图形最近被推广为医学数据的有效表示，但尚未得到充分研究。研究人员调查了这种新颖的显示方式对医生解读数据的影响。设计 12 名医生在评估儿科重症监护病房的 4 名患者的实验室数据时大声交谈，使用图形显示和传统的表格显示。根据每个实验室变量识别的异常值和趋势对测量语言进行编码。评估了每个显示中变量解释的对应性，并研究了参与者的模式。还分析了评估时间。 结果 医生通过图形显示显着更快地完成评估（3.6 分钟 vs 4.4 分钟，p=0.042）。跨显示器进行比较时，37% 的解释不匹配。当表格中的视觉提示不提供趋势信息时，图表更有用，而使用表格更容易识别轻微异常的值。 结论 数据呈现格式会影响医生解释实验室数据的方式。图形显示比数字显示有几个优点，但并不总是最佳的。设计信息显示时应考虑用户、任务和数据特征。
Objective Advances in healthcare information technology have provided opportunities to present data in new, more effective ways. In this study, we designed a laboratory display that features small, data-dense graphics called sparklines, which have recently been promoted as effective representations of medical data but have not been well studied. The effect of this novel display on physicians' interpretation of data was investigated.Design Twelve physicians talked aloud as they assessed laboratory data from four patients in a pediatric intensive care unit with the graph display and with a conventional table display.Measurements Verbalizations were coded based on the abnormal values and trends identified for each lab variable. The correspondence of interpretations of variables in each display was evaluated, and patterns were investigated across participants. Assessment time was also analyzed.Results Physicians completed assessments significantly faster with the graphical display (3.6 min vs 4.4 min, p=0.042). When compared across displays, 37% of interpretations did not match. Graphs were more useful when the visual cues in tables did not provide trend information, while slightly abnormal values were easier to identify with tables.Conclusions Data presentation format can affect how physicians interpret laboratory data. Graphic displays have several advantages over numeric displays but are not always optimal. User, task and data characteristics should be considered when designing information displays.