title: BT-Nurse: computer generation of natural language shift summaries from complex heterogeneous medical data.
abstract: 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.
authors: Department of Computing Science, University of Aberdeen, King's College, Aberdeen, UK. j.hunter@abdn.ac.uk
authors: James
authors: J
authors: Hunter
authors: Yvonne
authors: Y
authors: Freer
authors: Albert
authors: A
authors: Gatt
authors: Ehud
authors: E
authors: Reiter
authors: Somayajulu
authors: S
authors: Sripada
authors: Cindy
authors: C
authors: Sykes
authors: Dave
authors: D
authors: Westwater
mesh_terms: D003199:Computer Systems; D003266:Continuity of Patient Care; D057225:Data Mining; D057286:Electronic Health Records; D006801:Humans; D007231:Infant, Newborn; D007363:Intensive Care Units, Neonatal; D008991:Monitoring, Physiologic; D009323:Natural Language Processing; D009737:Nursing Records; D012606:Scotland