| Literature DB >> 16779035 |
Noemie Elhadad1, Kathleen McKeown, David Kaufman, Desmond Jordan.
Abstract
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.Entities:
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Year: 2005 PMID: 16779035 PMCID: PMC1560854
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076