The Current Situation and Influencing Factors of the Alarm Fatigue of Nurses’ Medical Equipment in the Intensive Care Unit Based on Intelligent Medical Care

医学 护理部 警报 医疗急救 单位(环理论) 医疗设备 重症监护室 医疗保健 重症监护 心理学 重症监护医学 工程类 经济 航空航天工程 数学教育 经济增长
作者
Yong Zhao,Minlin Wan,Huisong Liu,Ming Ma
出处
期刊:Journal of Healthcare Engineering [Hindawi Publishing Corporation]
卷期号:2021: 1-13 被引量:10
标识
DOI:10.1155/2021/9994303
摘要

After rapid development and reform, the health level and medical diagnosis and treatment capabilities of Chinese residents have been significantly improved, and high-quality medical resources have significantly improved the life safety and health of the masses. As the most concentrated area of medical equipment in the hospital, the intensive care unit produces the most alarms during the operation of the equipment. The intensive care unit nurses are responsible for heavier nursing work, and the problem of alarming in other departments is more prominent. Therefore, this paper presents an analysis and research on the current situation and influencing factors of the alarm fatigue of nurse medical equipment in the intensive care unit based on intelligent medicine. This article uses a variety of related methods such as literature data method and questionnaire survey method to deeply study the theoretical knowledge of intelligent medical treatment, medical equipment alarm fatigue device, and so on. The logistic regression analysis method is introduced to classify its influencing factors, and the analysis experiment on the influencing factors of the medical equipment alarm fatigue of nurses in the intensive care unit is designed. The nurses' cognition of clinical alarms and the analysis of clinical alarm fatigue questionnaire data are studied. The alarm fatigue of nurses in the intensive care unit is at a severe level, which needs to be taken seriously in the intensive care unit. Unmarried, high-level positions, long working years, high professional titles, and high education are negatively correlated with alarm fatigue (P < 0.05), and those without an alarm habit are positively correlated with alarm fatigue (P < 0.05), and the number of night shifts per month is related to alarm fatigue. There is no correlation between them (P > 0.05).

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