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

Author:

Zhao Yunxia1,Wan Minlin1,Liu Huisong2,Ma Mei1ORCID

Affiliation:

1. Intensive Care Unit, Qingdao Municipal Hospital, Qingdao 266011, Shandong, China

2. Nursing Department, Qingdao Municipal Hospital, Qingdao 266011, Shandong, China

Abstract

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 ).

Publisher

Hindawi Limited

Subject

Health Informatics,Biomedical Engineering,Surgery,Biotechnology

Reference28 articles.

1. A User Requirement-driven Approach Incorporating TRIZ and QFD for Designing a Smart Vessel Alarm System to Reduce Alarm Fatigue

2. The effects of active mobilisation and rehabilitation in ICU on mortality and function: a systematic review

3. A distributed coexistence mitigation scheme for IoT-based smart medical systems;B. Kim;Journal of Information Processing Systems,2017

4. Comparative Anesthesia Effect of Brachial Plexus Block Based on Smart Electronic Medical Ultrasound-Guided Positioning and Traditional Anatomical Positioning

5. Attitudes towards using smart devices and medical applications among pharmacy students, preceptors and faculty members in Jordan;Z. A. Subeh;Pharmacy Education,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3