Elhadad Noemie, McKeown Kathleen, Kaufman David, Jordan Desmond
Department of Computer Science, Columbia University, New York, NY 10027, USA.
AMIA Annu Symp Proc. 2005;2005:226-30.
We have developed a summarization system, TAS (Technical Article Summarizer), which, when provided with a patient record and journal articles returned by a search, automatically generates a summary that is tailored to the patient characteristics. We hypothesize that a personalized summary will allow a physician to more quickly find information relevant to patient care. In this paper, we present a user study in which subjects carried out a task under three different conditions: using search results only, using a generic summary and search results, and using a personalized summary with search results. Our study demonstrates that subjects do a better job on task completion with the personalized summary, and show a higher level of satisfaction, than under other conditions.
我们开发了一个摘要系统，即TAS（技术文章摘要器），当为其提供患者记录和搜索返回的期刊文章时，它会自动生成一个根据患者特征定制的摘要。我们假设个性化摘要将使医生能够更快地找到与患者护理相关的信息。在本文中，我们展示了一项用户研究，其中受试者在三种不同条件下执行一项任务：仅使用搜索结果、使用通用摘要和搜索结果，以及使用带有搜索结果的个性化摘要。我们的研究表明，与其他条件相比，受试者使用个性化摘要在任务完成方面表现更好，并且满意度更高。
