Clinical Case: Enhancing medical monitoring with visualization and analytics

Michael Farnum, V. Lobanov, Michael Brennan, D. Agrafiotis, J. Kolpak, J. Ciervo, L. Alquier
{"title":"Clinical Case: Enhancing medical monitoring with visualization and analytics","authors":"Michael Farnum, V. Lobanov, Michael Brennan, D. Agrafiotis, J. Kolpak, J. Ciervo, L. Alquier","doi":"10.1109/BIBM.2012.6392639","DOIUrl":null,"url":null,"abstract":"Monitoring ongoing clinical trials is a crucial activity for sponsors mandated by the FDA. Some of the important goals are the early detection of safety issues, assurance of proper trial conduct at remote sites, and tracking efficiency and cost. Generating a comprehensive picture of the current state of a trial involves integrating a variety of data sources, including case report forms, laboratory results from contract labs, and safety reports. Since the volume of data is large and is updated repeatedly during the trial, tools to assist in quickly and thoroughly interrogating the data are greatly needed. Of particular importance is the ability to see both aggregate views containing multiple patients as well as the capacity to drill down to individual patients' data points. Here, we present Clinical Case, a tool that has been developed within the Janssen organization and is used for this purpose. Clinical Case provides the ability to quickly integrate SDTM datasets, define both standard and ad hoc data views, and provide regular data updates. Both standard and user-configured views can be persisted, which can be composed of a variety of interactive graphics, including typical visualizations, such as box plots, scatter plots, line charts, tree maps, heat maps, etc., as well as visualizations specifically designed for clinical data, such as the Hy's Law plot, patient timelines plot, and integrated subject listings. The user can define subsets of patients for filtering and highlighting data and use these to compare data across multiple domains. Integrated into the system is the ability to manually annotate patients and data, as well as communicate with trial administrators.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"23 1","pages":"1-1"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2012.6392639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Monitoring ongoing clinical trials is a crucial activity for sponsors mandated by the FDA. Some of the important goals are the early detection of safety issues, assurance of proper trial conduct at remote sites, and tracking efficiency and cost. Generating a comprehensive picture of the current state of a trial involves integrating a variety of data sources, including case report forms, laboratory results from contract labs, and safety reports. Since the volume of data is large and is updated repeatedly during the trial, tools to assist in quickly and thoroughly interrogating the data are greatly needed. Of particular importance is the ability to see both aggregate views containing multiple patients as well as the capacity to drill down to individual patients' data points. Here, we present Clinical Case, a tool that has been developed within the Janssen organization and is used for this purpose. Clinical Case provides the ability to quickly integrate SDTM datasets, define both standard and ad hoc data views, and provide regular data updates. Both standard and user-configured views can be persisted, which can be composed of a variety of interactive graphics, including typical visualizations, such as box plots, scatter plots, line charts, tree maps, heat maps, etc., as well as visualizations specifically designed for clinical data, such as the Hy's Law plot, patient timelines plot, and integrated subject listings. The user can define subsets of patients for filtering and highlighting data and use these to compare data across multiple domains. Integrated into the system is the ability to manually annotate patients and data, as well as communicate with trial administrators.
临床案例:通过可视化和分析增强医疗监测
监督正在进行的临床试验是FDA授权的赞助商的一项重要活动。一些重要的目标是早期发现安全问题,确保在偏远地点进行适当的试验,以及跟踪效率和成本。生成试验当前状态的全面图像涉及整合各种数据源,包括病例报告表格、合同实验室的实验室结果和安全报告。由于数据量很大,并且在试验过程中会反复更新,因此非常需要能够帮助快速彻底地查询数据的工具。特别重要的是能够看到包含多个患者的聚合视图以及深入到单个患者数据点的能力。在这里,我们介绍临床案例,这是一个在杨森组织内开发的工具,用于此目的。临床案例提供了快速集成SDTM数据集的能力,定义标准和临时数据视图,并提供定期数据更新。可以保留标准视图和用户配置视图,这些视图可以由各种交互式图形组成,包括典型的可视化,如箱形图、散点图、折线图、树形图、热图等,以及专门为临床数据设计的可视化,如Hy’s Law图、患者时间线图和集成的主题列表。用户可以定义用于过滤和突出显示数据的患者子集,并使用这些子集跨多个域比较数据。集成到系统中的是手动注释患者和数据的能力,以及与试验管理员沟通的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信