The BT-Nurse system uses data-to-text technology to automatically generate a natural language nursing shift summary in a neonatal intensive care unit (NICU). The summary is solely based on data held in an electronic patient record system, no additional data-entry is required. BT-Nurse was tested for two months in the Royal Infirmary of Edinburgh NICU. 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. The nurses found the majority of the summaries to be understandable, accurate, and helpful (p<0.001 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. In conclusion, natural language NICU shift summaries can be automatically generated from an electronic patient record, but our proof-of-concept software needs considerable additional development work before it can be deployed.
|Number of pages||4|
|Journal||Journal of the American Medical Informatics Association|
|Publication status||Published - 1 Sep 2011|
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. https://doi.org/10.1136/amiajnl-2011-000193