数据可视化支持临床瘤学跨学科团队治疗规划:范围审查
Dominik Boehm1, Cosima Strantz2, Arsenij Ustjanzew3
1Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Journal of medical Internet research
|December 9, 2025
概括
这次范围审查确定了49个瘤板的数据可视化工具,其中大多数处理复杂的omics数据. 很少有工具被整合到临床例程中,突出了开发和实践之间的差距.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 数据可视化 数据可视化
背景情况:
- 复杂的瘤学数据集需要医生先进的可视化工具.
- 跨学科的瘤板受益于集成的数据可视化解决方案.
研究的目的:
- 识别和呈现瘤板可用的数据可视化工具.
- 概述工具,数据类型,可视化方法和医院集成.
主要方法:
- 使用Arksey和O'Malley框架进行范围审查.
- 搜索了PubMed,科学网,Scopus (过去10年,英语).
- 选后包括60篇文章,分析了49种不同的可视化工具.
主要成果:
- 确定了49个可视化工具,96%的数据处理是omics数据.
- 表格是最常见的可视化方法.
- 只有33%被评估,76%缺乏临床常规实施,43%是开源的.
结论:
- 对于瘤板,有许多可视化解决方案存在.
- 奥米克斯数据的复杂性推动了可视化方面的创新.
- 尽管这些工具的可用性,但临床整合有限.
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