用于总结单个患者健康数据以支持医生临床决策的可视化技术——范围综述。
Visualization Techniques for Summarizing Single Patient Health Data to Support Physicians' Clinical Decisions - A Scoping Review.
机构信息
Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Germany.
出版信息
Stud Health Technol Inform. 2024 Aug 30;317:314-323. doi: 10.3233/SHTI240873.
INTRODUCTION
User-centered data visualizations can reduce physician cognitive load and support clinical decision making. To facilitate the selection of appropriate visualizations for single patient health data summaries, this scoping review provides a literature overview of possible visualization techniques and the corresponding reported user-centered design phases.
METHODS
The publication databases PubMed, Web of Science, IEEE Xplore and ACM Digital Library were searched for relevant articles from 2017 to 2022.
RESULTS
Of the 777 articles screened, 78 articles were included in the final analysis. The most commonly used visualization techniques are table, scatterplot-line timeline, text and event timelines, with 24 other visualization techniques identified. The testing phase of the user centered design process is reported most frequently.
CONCLUSION
This scoping review can support developers in the selection of suitable visualizations for single patient health data by revealing the design space of possible visualization techniques.
简介
以用户为中心的数据可视化可以减少医生的认知负荷并支持临床决策。为了方便为单个患者健康数据摘要选择合适的可视化，本范围综述提供了可能的可视化技术以及相应报告的以用户为中心的设计阶段的文献概述。
方法
从 2017 年到 2022 年，在 PubMed、Web of Science、IEEE Xplore 和 ACM Digital Library 等出版数据库中搜索了相关文章。
结果
在筛选出的 777 篇文章中，有 78 篇被纳入最终分析。最常用的可视化技术是表格、散点图-线时间线、文本和事件时间线，还确定了其他 24 种可视化技术。用户为中心的设计过程的测试阶段报告得最多。
结论
本范围综述可以通过揭示可能的可视化技术的设计空间，为开发人员为单个患者健康数据选择合适的可视化提供支持。
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