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Development and evaluation of a clinical nursing decision support system for the prevention of neonatal hypoglycaemia

医学 低血糖 入射(几何) 新生儿学 新生儿低血糖 临床决策支持系统 新生儿护理 儿科 护理部 重症监护医学 急诊医学 决策支持系统 怀孕 妊娠期 内科学 新生儿重症监护室 物理 人工智能 计算机科学 光学 生物 遗传学 胰岛素 妊娠期糖尿病
作者
Qiaoyan Liu,Lulu Sun,Jie Yang,Wei Hsian Yin,Songmei Cao
出处
期刊:BMC Medical Informatics and Decision Making [BioMed Central]
卷期号:24 (1)
标识
DOI:10.1186/s12911-024-02826-3
摘要

Hypoglycaemia is one of the most common complications during the neonatal period. Recurrent hypoglycaemia episodes can result in neurodevelopmental deficits and even sudden death. Available evidence indicates that healthcare professionals ought to promptly assess the risk of hypoglycaemia in newborns immediately following birth and formulate the most suitable preventive strategies. Consequently, this study was designed to develop a clinical nursing decision support system for neonatal hypoglycaemia prevention based on the prediction model for neonatal hypoglycaemia risk that was developed in a previous study, and to evaluate its efficacy. Nursing process as the theoretical framework, based on evidence-based nursing, standardized nursing language, and clinical decision support technology, the neonatal hypoglycaemia prevention nursing decision support system was developed.This system was implemented in the neonatology department of a tertiary grade A general hospital from September 1st to 30th, 2023.The application efficacy of the system was assessed and compared through the examination of the incidence of neonatal hypoglycemia, adverse outcomes associated with neonatal hypoglycemia, and the experiences of nurses following the implementation of the system. The incidence of neonatal hypoglycaemia decreased after the system was implemented, and the difference was statistically significant (X2 = 4.522, P = 0.033). None of the neonates experienced adverse outcomes during hospitalization. The rate of hypoglycaemia risk assessment in neonates after system implementation was 92.16%. The total Clinical Nursing Information System Effectiveness Evaluation Scale score was 104.36 ± 1.96. The neonatal hypoglycaemia prevention nursing decision support system realizes neonatal hypoglycaemia risk assessment, intelligent decision-making, and effect evaluation, effectively diminishes the incidence of neonatal hypoglycaemia, and enhances the standardization of neonatal hypoglycaemia management.
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