An ontology model for nursing narratives with natural language generation technology.
The purpose of this study was to develop an ontology model to generate nursing narratives as natural as human language from the entity-attribute-value triplets of a detailed clinical model using natural language generation technology. The model was based on the types of information and documentation time of the information along the nursing process. The typesof information are data characterizing the patient status, inferences made by the nurse from the patient data, and nursing actions selected by the nurse to change the patient status. This information was linked to the nursing process based on the time of documentation. We describe a case study illustrating the application of this model in an acute-care setting. The proposed model provides a strategy for designing an electronic nursing record system.
College of Nursing, Seoul National University, Seoul, Korea.
Yul Ha
YH
Min
Hyeoun-Ae
HA
Park
Eunjoo
E
Jeon
Joo Yun
JY
Lee
Soo Jung
SJ
Jo
D001185:Artificial Intelligence; D004282:Documentation / Q000379:methods*; D008498:Medical Record Linkage / Q000379:methods; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D009737:Nursing Records; D012660:Semantics; D009626:Terminology as Topic; D018875:Vocabulary, Controlled