Sultanum Nicole, Naeem Farooq, Brudno Michael, Chevalier Fanny
IEEE Trans Vis Comput Graph. 2023 Jan;29(1):1244-1254. doi: 10.1109/TVCG.2022.3209444. Epub 2022 Dec 16.
Before seeing a patient for the first time, healthcare workers will typically conduct a comprehensive clinical chart review of the patient's electronic health record (EHR). Within the diverse documentation pieces included there, text notes are among the most important and thoroughly perused segments for this task; and yet they are among the least supported medium in terms of content navigation and overview. In this work, we delve deeper into the task of clinical chart review from a data visualization perspective and propose a hybrid graphics+text approach via ChartWalk, an interactive tool to support the review of text notes in EHRs. We report on our iterative design process grounded in input provided by a diverse range of healthcare professionals, with steps including: (a) initial requirements distilled from interviews and the literature, (b) an interim evaluation to validate design decisions, and (c) a task-based qualitative evaluation of our final design. We contribute lessons learned to better support the design of tools not only for clinical chart reviews but also other healthcare-related tasks around medical text analysis.
在首次接诊患者之前，医护人员通常会对患者的电子健康记录（EHR）进行全面的临床病历审查。在其中包含的各种文档中，文本记录是此项任务最重要且被仔细研读的部分之一；然而，就内容导航和概述而言，它们却是支持最少的媒介之一。在这项工作中，我们从数据可视化的角度更深入地探究临床病历审查任务，并通过ChartWalk提出一种图形与文本相结合的方法，ChartWalk是一种交互式工具，用于支持对EHR中的文本记录进行审查。我们报告了基于不同医疗专业人员提供的输入而进行的迭代设计过程，步骤包括：（a）从访谈和文献中提炼出的初始需求，（b）用于验证设计决策的中期评估，以及（c）对我们最终设计的基于任务的定性评估。我们总结了经验教训，以更好地支持不仅用于临床病历审查，还用于围绕医学文本分析的其他医疗相关任务的工具设计。
