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. 2008 Nov 6:2008:323-7.

Summarising complex ICU data in natural language

Jim Hunter  1 , Yvonne Freer, Albert Gatt, Robert Logie, Neil McIntosh, Marian van der Meulen, Francois Portet, Ehud Reiter, Somayajulu Sripada, Cindy Sykes
Affiliations

Summarising complex ICU data in natural language

Jim Hunter et al. AMIA Annu Symp Proc. .

Abstract

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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Figures

Figure 1
Figure 1
Example of a graphical presentation.
Figure 2
Figure 2
Example of human generated text for the same period as in Figure 1.
Figure 3
Figure 3
BT-45 Architecture
Figure 4
Figure 4
Example of computer generated text for the same period as in Figure 1.
See this image and copyright information in PMC

References

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