Summarising complex ICU data in natural language

It has been shown that summarizing complex multi-channel physiological and discrete data in natural language (text) can lead to better decision-making in the intensive care unit (ICU). As part of the BabyTalk project, we describe a prototype system (BT-45) which can generate such textual summaries a...

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Published inAMIA ... Annual Symposium proceedings Vol. 2008; pp. 323 - 327
Main Authors Hunter, Jim, Freer, Yvonne, Gatt, Albert, Logie, Robert, McIntosh, Neil, van der Meulen, Marian, Portet, Francois, Reiter, Ehud, Sripada, Somayajulu, Sykes, Cindy
Format Journal Article
LanguageEnglish
Published United States American Medical Informatics Association 06.11.2008
Subjects
Critical Care - methods
Data Display
Decision Support Systems, Management - organization & administration
Diagnosis, Computer-Assisted - methods
Information Dissemination - methods
Monitoring, Physiologic - methods
Natural Language Processing
User-Computer Interface
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Summary:It has been shown that summarizing complex multi-channel physiological and discrete data in natural language (text) can lead to better decision-making in the intensive care unit (ICU). As part of the BabyTalk project, we describe a prototype system (BT-45) which can generate such textual summaries automatically. Although these summaries are not yet as good as those generated by human experts, we have demonstrated experimentally that they lead to as good decision-making as can be achieved through presenting the same data graphically.
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ISSN:1559-4076