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Implementation of a Next-Generation Electronic Nursing Records System Based on Detailed Clinical Models and Integration of Clinical Practice Guidelines / 대한의료정보학회지
Article in En | WPRIM | ID: wpr-11264
Responsible library: WPRO
ABSTRACT
OBJECTIVES: The purpose of this paper is to describe the components of a next-generation electronic nursing records system ensuring full semantic interoperability and integrating evidence into the nursing records system. METHODS: A next-generation electronic nursing records system based on detailed clinical models and clinical practice guidelines was developed at Seoul National University Bundang Hospital in 2013. This system has two components, a terminology server and a nursing documentation system. RESULTS: The terminology server manages nursing narratives generated from entity-attribute-value triplets of detailed clinical models using a natural language generation system. The nursing documentation system provides nurses with a set of nursing narratives arranged around the recommendations extracted from clinical practice guidelines. CONCLUSIONS: An electronic nursing records system based on detailed clinical models and clinical practice guidelines was successfully implemented in a hospital in Korea. The next-generation electronic nursing records system can support nursing practice and nursing documentation, which in turn will improve data quality.
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Full text: 1 Index: WPRIM Main subject: Semantics / Triplets / Nursing Records / Medical Records Systems, Computerized / Nursing / Evidence-Based Practice / Seoul / Data Accuracy / Korea Type of study: Guideline / Prognostic_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Healthcare Informatics Research Year: 2013 Type: Article
Full text: 1 Index: WPRIM Main subject: Semantics / Triplets / Nursing Records / Medical Records Systems, Computerized / Nursing / Evidence-Based Practice / Seoul / Data Accuracy / Korea Type of study: Guideline / Prognostic_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Healthcare Informatics Research Year: 2013 Type: Article