Exploiting the User Interface for Data Integration in Effectiveness Research

利用用户界面进行有效性研究中的数据集成

• 批准号: 7843589
• 负责人: JUDITH R LOGAN
• 金额: $ 20.4万
• 依托单位: OREGON HEALTH & SCIENCE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7843589
• 关键词: Architecture; Classification; Clinical; Clinical Data; Clinical Research; Clinical Trials; Complex; Computer software; Computers; Controlled Environment; Data; Data Analyses; Data Element; Data Set; Data Sources; Data Storage and Retrieval; Databases; Development; Electronic Health Record; Environment; Exhibits; Feedback; Generations; Generic Drugs; Goals; Guava Fruit; Head; Health; Healthcare; Individual; Information Systems; Intervention; Life; Measures; Medical; Methodology; Methods; Names; Ontology; Outcomes Research; Problem Solving; Procedures; Process; Public Health; Rare Diseases; Records; Reliance; Reporting; Research; Research Personnel; Retrieval; Running; Scientist; Semantics; Series; Services; Source; Structure; Symptoms; System; Techniques; Terminology; Testing; Time; To specify; Work; Writing; base; clinical application; clinical care; clinical practice; computer science; data integration; database design; effectiveness research; evidence based guidelines; graphical user interface; health care delivery; improved; innovation; interest; meetings; platform-independent; programs; research study; software development; success; tool

DESCRIPTION (provided by applicant): Many clinical applications, including reporting tools and electronic health records, subscribe to a paradigm of forms-based interfaces, where the software prompts the user with a sequence of forms for data entry. In this paradigm. the user interface is the definitive source for the semantics of the data since what the user sees on the screen may influence how he or she will enter data. Harnessing the semantics of the user interface can give investigators and data analysts powerful tools for performing effectiveness research, especially for performing research using multiple data sources, each with its own data semantics. The long-range goal of this project is to develop innovative tools and the formalized computational concepts that underlie them to meet the needs of integrated effectiveness research. The conceptual framework for meeting this goal includes automated tools for creation of databases based on user interfaces, methods for analysts to directly write queries against the user interface, and tools that allow analysts to classify data elements from multiple sources in a dynamic manner. The aims of the current project are to build on current proof-of-concept tools within this framework. Aim #1 is to define, develop, formalize, optimize and evaluate the architecture, data structures, and operators for Guava (GUi-As-View) to build a query interface over the user interface and generate the underlying database from the user interface. Aim #2 is to define, develop, formalize, optimize, and evaluate the architecture, data structures and operators for MultiClass (Multiple-Classifications) where an analyst can describe her information integration decisions using a set of classifiers, for each study. Success in meeting these aims will be measured by the ability to easily retrieve records for analysis from first one and then multiple primary sources. This research aims to increase the amount and improve the process of effectiveness research performed using data collected in clinical settings. Effectiveness research studies topics such as the delivery of healthcare services, conformance of clinical practice to evidence-based guidelines, and associations in real practice of symptoms and findings, and in all of these ways directly benefit public health.

描述（由申请人提供）：许多临床应用程序，包括报告工具和电子健康记录，都订阅了基于表单的接口范式，该软件在其中提示用户使用一系列表单进行数据输入。在这个范式中。用户界面是数据语义的确定来源，因为用户在屏幕上看到的内容可能会影响他或她将如何输入数据。利用用户界面的语义可以为调查人员和数据分析师提供有效性研究的强大工具，尤其是用于使用多个数据源进行研究，每种都具有自己的数据语义。该项目的远程目标是开发创新的工具和正式的计算概念，这些概念是满足综合有效性研究需求的基础。实现此目标的概念框架包括基于用户界面创建数据库的自动化工具，分析师直接针对用户界面编写查询的方法以及允许分析师以动态方式从多个源对数据元素进行分类的工具。当前项目的目的是建立在此框架内的当前概念验证工具。 AIM＃1是定义，开发，形式化，优化和评估Guava（GUI-AS-VIEW）的体系结构，数据结构和运算符，以通过用户界面构建查询界面，并从用户界面生成基础数据库。 AIM＃2是定义，开发，形式化，优化和评估多类（多类别）的体系结构，数据结构和操作员，分析师可以使用一组分类器来描述她的信息集成决策，每次研究。实现这些目标的成功将通过轻松从第一个出发和多个主要来源检索记录进行分析的能力来衡量。 这项研究旨在增加数量并改善使用临床环境中收集的数据进行的有效性研究过程。有效研究研究主题，例如提供医疗服务的提供，临床实践与循证指南的一致性以及症状和发现实践中的关联，并以所有这些方式直接受益于公共卫生。