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DC Field | Value | Language |
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dc.contributor.author | Hunter, James | - |
dc.contributor.author | Freer, Yvonne | - |
dc.contributor.author | Gatt, Albert | - |
dc.contributor.author | Reiter, Ehud | - |
dc.contributor.author | Sripada, Somayajulu | - |
dc.contributor.author | Sykes, Cindy | - |
dc.contributor.author | Westwater, Dave | - |
dc.date.accessioned | 2017-10-07T18:09:59Z | - |
dc.date.available | 2017-10-07T18:09:59Z | - |
dc.date.issued | 2011 | - |
dc.identifier.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. | en_GB |
dc.identifier.issn | 10675027 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/22383 | - |
dc.description.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. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Oxford University Press | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Natural language processing (Computer science) | en_GB |
dc.subject | Corpora (Linguistics) | en_GB |
dc.subject | Linguistic analysis (Linguistics) | en_GB |
dc.subject | Reference (Linguistics) | en_GB |
dc.subject | Word (Linguistics) | en_GB |
dc.title | BT-Nurse : computer generation of natural language shift summaries from complex heterogeneous medical data | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.publication.title | Journal of the American Medical Informatics Association | en_GB |
Appears in Collections: | Scholarly Works - InsLin |
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jamia2011.pdf | 257.56 kB | Adobe PDF | View/Open |
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