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Title: BT-Nurse : computer generation of natural language shift summaries from complex heterogeneous medical data
Authors: Hunter, James
Freer, Yvonne
Gatt, Albert
Reiter, Ehud
Sripada, Somayajulu
Sykes, Cindy
Westwater, Dave
Keywords: Natural language processing (Computer science)
Corpora (Linguistics)
Linguistic analysis (Linguistics)
Reference (Linguistics)
Word (Linguistics)
Issue Date: 2011
Publisher: Oxford University Press
Citation: Hunter, J., Freer, Y., Gatt, A., Reiter, E., Sripada, S., Sykes, C., & Westwater, D. (2011). BT-Nurse: computer generation of natural language shift summaries from complex heterogeneous medical data. Journal of the American Medical Informatics Association, 18(5), 621-624.
Abstract: Objective: To determine if a computer system can automatically generate a useful natural language nursing shift summary solely from an electronic patient record system, in a neonatal intensive care unit (NICU). Design: A system was built which automatically generates NICU shift summaries, using datato- text technology. The system was tested for two months in the Royal Infirmary of Edinburgh NICU. Measurements: Nurses were asked to rate the understandability, accuracy, and helpfulness of the computer-generated summaries; they were also asked for free-text comments about the summaries. Results: The nurses found the majority of the summaries to be understandable, accurate, and helpful (p < .001 for all measures). However, nurses also pointed out many deficiencies, especially with regard to extra content they wanted to see in the computer-generated summaries. Conclusions: Natural language NICU shift summaries can be automatically generated from an electronic patient record. However our proof-of-concept software needs considerable additional development work.
ISSN: 10675027
Appears in Collections:Scholarly Works - InsLin

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