Intelligent visualization and exploration of time-oriented data of multiple patients
Intelligent visualization and exploration of time-oriented data of multiple patients
复制标题
DOI：
10.1016/j.artmed.2010.02.001
复制
发表时间：
2010-05-01
影响因子：
7.5
通讯作者：
Taieb-Maimon, Meirav
中科院分区：
文献类型：
--
作者：
Klimov, Denis;Shahar, Yuval;Taieb-Maimon, Meirav
目的：临床医生和医学研究人员都需要有用的、直观的和智能的工具来处理来自多个来源的大量以时间为导向的多患者数据。为了分析临床试验结果或进行质量评估，通常需要一组患者的汇总视图。为了满足这一需求，我们设计并开发了将智能时间分析技术与信息可视化技术相结合的面向时间记录可视化系统。访问者系统包括用于智能检索、可视化、探索和分析原始时间导向数据的工具，以及用于多个患者记录的派生（抽象）概念。为了从原始的面向时间的数据（称为时间抽象）中获得有意义的解释，我们使用了基于知识的时间抽象方法。方法：访问者系统的主要模块是一个交互式的、基于本体的探索模块，使用户能够在多个时间粒度级别上可视化多个患者记录的原始数据和抽象（衍生）概念；探索这些概念；并展示原始和抽象概念之间的联系。使用基于知识的委托函数将多个数据点转换为一个代表每个时间颗粒的委托值。为了选择要探索的患者群体，访问者系统包括一个基于本体的时间聚合规范语言和一个图形表达规范模块。这些表达式由外部时间中介应用，通过使用一组表达性的时间和值约束，检索患者列表、相关时间间隔列表和面向时间的患者数据集列表。结果：由10名用户（5名临床医生和5名医疗信息学家）对1000多名肿瘤患者的数据库进行了交互式探索模块的功能和可用性评估。这两种类型的用户都能够在很短的时间内（平均每个问题2.5 +/- 0.2分钟）回答一组临床问题，包括需要使用专门的算子来寻找派生的时间抽象之间的关联的问题，准确率很高（在从0到100的预定义范围内，平均值为98.7 +/- 2.4）。使用不同时间线(即绝对时间线（即日历时间线）与相对时间线（指某些临床关键事件）的数据探索的反应时间和准确性水平之间没有显著差异。用户填写的系统可用性量表（SUS）问卷显示访问者系统是可用的（整体组平均得分：69.3），但临床医生的可用性评估明显低于医疗信息学家。结论：利用访问者系统对多例患者的纵向数据进行智能可视化和探索是可行的、功能性的和可用的。(C) 2010 Elsevier B.V.版权所有
Objective: Clinicians and medical researchers alike require useful, intuitive, and intelligent tools to process large amounts of time-oriented multiple-patient data from multiple sources. For analyzing the results of clinical trials or for quality assessment purposes, an aggregated view of a group of patients is often required. To meet this need, we designed and developed the VISualizatIon of Time-Oriented RecordS (VISITORS) system, which combines intelligent temporal analysis and information visualization techniques. The VISITORS system includes tools for intelligent retrieval, visualization, exploration, and analysis of raw time-oriented data and derived (abstracted) concepts for multiple patient records. To derive meaningful interpretations from raw time-oriented data (known as temporal abstractions), we used the knowledge-based temporal-abstraction method.Methods: The main module of the VISITORS system is an interactive, ontology-based exploration module, which enables the user to visualize raw data and abstract (derived) concepts for multiple patient records, at several levels of temporal granularity; to explore these concepts; and to display associations among raw and abstract concepts. A knowledge-based delegate function is used to convert multiple data points into one delegate value representing each temporal granule. To select the population of patients to explore, the VISITORS system includes an ontology-based temporal-aggregation specification language and a graphical expression-specification module. The expressions, applied by an external temporal mediator, retrieve a list of patients, a list of relevant time intervals, and a list of time-oriented patients' data sets, by using an expressive set of time and value constraints.Results: Functionality and usability evaluation of the interactive exploration module was performed on a database of more than 1000 oncology patients by a group of 10 users five clinicians and five medical informaticians. Both types of users were able in a short time (mean of 2.5 +/- 0.2 min per question) to answer a set of clinical questions, including questions that require the use of specialized operators for finding associations among derived temporal abstractions, with high accuracy (mean of 98.7 +/- 2.4 on a predefined scale from 0 to 100). There were no significant differences between the response times and between accuracy levels of the exploration of the data using different time lines, i.e., absolute (i.e., calendrical) versus relative (referring to some clinical key event). A system usability scale (SUS) questionnaire filled out by the users demonstrated the VISITORS system to be usable (mean score for the overall group: 69.3), but the clinicians' usability assessment was significantly lower than that of the medical informaticians.Conclusions: We conclude that intelligent visualization and exploration of longitudinal data of multiple patients with the VISITORS system is feasible, functional, and usable. (C) 2010 Elsevier B.V. All rights reserved.