Exploiting the User Interface for Data Integration in Effectiveness Research

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，都采用基于表单的界面范例，其中软件提示用户使用一系列表单进行数据输入。在这个范例中。用户界面是数据语义的决定性来源，因为用户在屏幕上看到的内容可能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人员提供强大的工具来进行有效性研究，特别是使用多个数据源进行研究，每个数据源都有自己的数据语义。该项目的长期目标是开发创新的工具和形式化的计算概念，以满足综合效能研究的需要。实现这一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、分析人员直接针对用户界面编写查询的方法，以及允许分析人员以动态方式对来自多个来源的数据元素进行分类的工具。本项目的目的是在这一框架内利用现有的概念验证工具。目标#1是定义，开发，形式化，优化和评估Guava（GUI-As-View）的架构，数据结构和操作符，以在用户界面上构建查询界面并从用户界面生成底层数据库。目标#2是定义、开发、形式化、优化和评估多类（多分类）的体系结构、数据结构和操作符，其中分析师可以使用一组分类器来描述她的信息集成决策。能否成功地实现这些目标，将取决于能否从第一个和多个主要来源方便地检索记录进行分析。 本研究旨在增加使用临床环境中收集的数据进行有效性研究的数量并改善其过程。有效性研究研究的主题包括医疗服务的提供、临床实践是否符合循证指南以及症状和发现在真实的实践中的关联，并以所有这些方式直接有益于公共卫生。

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.