@article{ART003383531},
author={Se Young Kim and Yul Ha Min and Mi Kyung Kim and Eunsim Kim},
title={Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2026},
volume={31},
number={9},
pages={163-172}
TY - JOUR
AU - Se Young Kim
AU - Yul Ha Min
AU - Mi Kyung Kim
AU - Eunsim Kim
TI - Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System
JO - Journal of The Korea Society of Computer and Information
PY - 2026
VL - 31
IS - 9
PB - The Korean Society Of Computer And Information
SP - 163
EP - 172
SN - 1598-849X
AB - This study aimed to identify major nursing problems and interventions documented in narrative nursing records from a long-term care facility using natural language processing and the Omaha System.
A total of 30,010 daily nursing records from 92 residents at a single facility were analyzed for major keywords and keyword co-occurrence patterns. Records related to frequently documented nursing activities were then mapped to the Omaha System Problem Classification Scheme and Intervention Scheme. Keyword and co-occurrence network analyses showed that the records primarily reflected fall prevention and management, maintenance of physical activity, hygiene management, environmental and infection control, support for dietary intake and activities of daily living, coordination with medical care and symptom management, and vital-sign monitoring. In the Omaha System mapping, the Health-related Behaviors, Environmental, and Physiological domains accounted for most mappings. At the problem level, residence, medication regimen, cognition, nutrition, sanitation, and physical activity were frequently identified. Treatments and Procedures and Surveillance were the most common intervention categories.
These findings suggest that electronic nursing record systems in long-term care facilities should support the structured documentation of major nursing problems and interventions using standardized nursing terminology, while also allowing narrative documentation to capture clinical context.
KW - Long-term care facilities;Nursing records;Natural language processing;Text mining;Omaha System
DO -
UR -
ER -
Se Young Kim, Yul Ha Min, Mi Kyung Kim and Eunsim Kim. (2026). Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System. Journal of The Korea Society of Computer and Information, 31(9), 163-172.
Se Young Kim, Yul Ha Min, Mi Kyung Kim and Eunsim Kim. 2026, "Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System", Journal of The Korea Society of Computer and Information, vol.31, no.9 pp.163-172.
Se Young Kim, Yul Ha Min, Mi Kyung Kim, Eunsim Kim "Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System" Journal of The Korea Society of Computer and Information 31.9 pp.163-172 (2026) : 163.
Se Young Kim, Yul Ha Min, Mi Kyung Kim, Eunsim Kim. Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System. 2026; 31(9), 163-172.
Se Young Kim, Yul Ha Min, Mi Kyung Kim and Eunsim Kim. "Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System" Journal of The Korea Society of Computer and Information 31, no.9 (2026) : 163-172.
Se Young Kim; Yul Ha Min; Mi Kyung Kim; Eunsim Kim. Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System. Journal of The Korea Society of Computer and Information, 31(9), 163-172.
Se Young Kim; Yul Ha Min; Mi Kyung Kim; Eunsim Kim. Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System. Journal of The Korea Society of Computer and Information. 2026; 31(9) 163-172.
Se Young Kim, Yul Ha Min, Mi Kyung Kim, Eunsim Kim. Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System. 2026; 31(9), 163-172.
Se Young Kim, Yul Ha Min, Mi Kyung Kim and Eunsim Kim. "Analysis of Narrative Nursing Records in a Long-Term Care Facility Using Natural Language Processing and the Omaha System" Journal of The Korea Society of Computer and Information 31, no.9 (2026) : 163-172.
1,
Yul Ha Min