一个为新手用户设计的可视化界面，用于在大型生物医学数据库中查找研究患者队列。
A visual interface designed for novice users to find research patient cohorts in a large biomedical database.
作者信息
Murphy Shawn N, Gainer Vivian, Chueh Henry C
机构信息
Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, USA.
出版信息
AMIA Annu Symp Proc. 2003;2003:489-93.
One of the more difficult tasks of informatics is allowing for the navigation of complex databases. At Partners Healthcare Inc. we have developed an analytical database to allow for searching clinical data to obtain cohorts of patients for research studies. The characteristics of the patients within the cohorts must often comply with complex inclusion and exclusion criteria. The users of the database are research clinicians, often with no prior database experience. To assist these clinicians in finding their patient cohorts, we constructed a Querytool that they use directly to find their desired populations. In order to understand if the Querytool could indeed be used successfully by novice users, we analyzed the first 10 queries of 219 users. This analysis was able show that novice users are able to achieve excellent success using the Querytool
信息学中较困难的任务之一是实现对复杂数据库的导航。在 Partners Healthcare Inc.，我们开发了一个分析数据库，用于搜索临床数据，以获取用于研究的患者队列。队列中的患者特征通常必须符合复杂的纳入和排除标准。该数据库的用户是研究临床医生，他们通常没有数据库使用经验。为了帮助这些临床医生找到他们的患者队列，我们构建了一个查询工具，他们可以直接使用该工具来找到他们想要的人群。为了了解新手用户是否确实能够成功使用该查询工具，我们分析了 219 名用户的前 10 个查询。该分析表明，新手用户能够使用查询工具取得极佳的效果。
Zotero 插件