Output details
11 - Computer Science and Informatics
University of Aberdeen
Return to search
Output 0 of 0 in the submission
Article title
Automatic generation of natural language nursing shift summaries in neonatal intensive care : BT-Nurse
Type
D - Journal article
Title of journal
Artificial Intelligence in Medicine
Article number
-
Volume number
56
Issue number
3
First page of article
157
ISSN of journal
0933-3657
Year of publication
2012
URL
-
Number of additional authors
5
Additional information
This paper describes BT-Nurse, one of the outputs of the EPSRC-funded Babytalk project; it expands on an earlier paper published in JAMIA in 2011. BT-Nurse generates English nursing shift summaries (for a neonatal intensive care unit) directly from a hospital electronic patient record system. It was the first Babytalk system to be deployed and evaluated live in a hospital ward. Many of the concepts developed in Babytalk and BT-Nurse are being commercialised by Data2text (data2text.com) and Arria (arria.com); see case study sections of both websites. Prof Reiter is Chief Scientist of both of these companies, which work closely together.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Citation count
2
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
