在移动医疗场景中定义和更改数据收集工具的模式

Johannes Schobel, R. Pryss, Marc Schickler, M. Reichert
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引用次数: 3

摘要

特别是在医疗场景和临床试验中,需要在相当短的时间内收集大量的数据。在这种情况下,智能移动设备可以成为促进数据收集场景的可行工具。为了使领域专家能够自己创建和维护移动数据收集应用程序,QuestionSys框架依赖于模型驱动的方法来数字化基于纸张的调查问卷。这种数字化转型既基于手动任务,也基于自动化任务。领域专家应用的手工任务可以通过使用更改模式来简化。它们描述的特征可以方便地添加或删除问卷的元素。这项工作总结了关键的变化模式,并展示了如何在实践中应用它们。我们认为,这些模式是领域专家自己实现复杂的移动数据收集应用程序的重要手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Patterns for Defining and Changing Data Collection Instruments in Mobile Healthcare Scenarios
Especially in healthcare scenarios and clinical trials, a large amount of data needs to be collected in a rather short time. In this context, smart mobile devices can be a feasible instrument to foster data collection scenarios. To enable domain experts to create and maintain mobile data collection applications themselves, the QuestionSys framework relies on a model-driven approach to digitize paper-based questionnaires. This digital transformation is based on manual as well as automated tasks. The manual tasks applied by the domain experts can be eased by the use of change patterns. They describe features to easily add or delete the elements of a questionnaire. This work summarizes crucial change patterns and shows how they can be applied in practice. We believe that the patterns constitute an important means to implement sophisticated mobile data collection applications by domain experts themselves.
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