Chused Amy, Payne Philip R O, Starren Justin B
Department of Biomedical Informatics, Columbia University, New York, NY, USA.
AMIA Annu Symp Proc. 2006;2006:891.
There is great interest in ascertaining patient perceptions in order to create more patient-friendly web resources. The recent proliferation of inexpensive web based data collection systems can facilitate this. Many quite sophisticated tools are commercially available. Unfortunately, researchers often recreate these capabilities in order to avoid privacy issues. This poster describes a simple architecture that allows use of a commercial system while maintaining privacy. In this example, the commercial tool supports the collection of complex categorical sorting data relating to chemotherapy systems. Hypothesis discovery techniques are used to convert the sort data into intuitive web menus.
为了创建更便于患者使用的网络资源,人们对了解患者的看法有着浓厚的兴趣。近期基于网络的廉价数据收集系统的激增有助于实现这一点。许多相当复杂的工具在市场上都可以买到。不幸的是,研究人员常常重新创建这些功能以避免隐私问题。本海报描述了一种简单的架构,该架构允许在维护隐私的同时使用商业系统。在此示例中,商业工具支持收集与化疗系统相关的复杂分类排序数据。假设发现技术用于将排序数据转换为直观的网络菜单。