Facilitating physicians' access to information via tailored text summarization. Elhadad, N., McKeown, K., Kaufman, D., & Jordan, D. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 1, 2005. Paper abstract bibtex 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.
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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.},
bibtype = {article},
author = {Elhadad, Noemie and McKeown, Kathleen and Kaufman, David and Jordan, Desmond},
journal = {AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium}
}
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