Department of Computer Science, University of Maryland, College Park, MD 20742, USA.
J Med Syst. 2011 Oct;35(5):1135-52. doi: 10.1007/s10916-011-9718-x. Epub 2011 May 4.
Current electronic health record (EHR) systems facilitate the storage, retrieval, persistence, and sharing of patient data. However, the way physicians interact with EHRs has not changed much. More specifically, support for temporal analysis of a large number of EHRs has been lacking. A number of information visualization techniques have been proposed to alleviate this problem. Unfortunately, due to their limited application to a single case study, the results are often difficult to generalize across medical scenarios. We present the usage data of Lifelines2 (Wang et al. 2008), our information visualization system, and user comments, both collected over eight different medical case studies. We generalize our experience into a visual analytics process model for multiple EHRs. Based on our analysis, we make seven design recommendations to information visualization tools to explore EHR systems.
当前的电子健康记录 (EHR) 系统促进了患者数据的存储、检索、持久化和共享。然而，医生与 EHR 交互的方式并没有太大改变。更具体地说，缺乏对大量 EHR 进行时间分析的支持。已经提出了许多信息可视化技术来缓解这个问题。不幸的是，由于它们在单个案例研究中的应用有限，结果往往难以推广到医疗场景中。我们展示了 Lifelines2（Wang 等人，2008）的使用数据，这是我们的信息可视化系统，以及用户评论，这些都是在八个不同的医疗案例研究中收集的。我们将我们的经验概括为一个用于多个 EHR 的可视化分析过程模型。基于我们的分析，我们提出了七个设计建议，以探索 EHR 系统的信息可视化工具。
