An Ontology Model for Nursing Narratives with Natural Language Generation Technology

被引：0

作者：

Min, Yul Ha ^{[1
]}

Park, Hyeoun-Ae ^{[1
]}

Jeon, Eunjoo ^{[1
]}

Lee, Joo Yun ^{[1
]}

Jo, Soo Jung ^{[1
]}

机构：

[1] Seoul Natl Univ, Coll Nursing, Seoul, South Korea

来源：

MEDINFO 2013: PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2 | 2013年 / 192卷

关键词：

computerized medical record; nursing documentation; nursing process; natural language generation; semantics;

D O I：

10.3233/978-1-61499-289-9-962

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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 types of 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.

引用

页码：962 / 962

页数：1