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A quiet NICU for improved infants’ health, development and well-being: a systems approach to reducing noise and auditory alarms

机译:安静的重症监护病房,可改善婴儿的健康,发育和健康:一种减少噪音和听觉警报的系统方法

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摘要

Noise is a direct cause of health problems, long-lasting auditory problems and development problems. Preterm infants are, especially, at risk for auditory and neurocognitive development. Sound levels are very high at the neonatal intensive care unit (NICU) and may contribute to the frequently observed detrimental outcomes of prematurely born infants. Despite efforts to reduce noise level at the NICU, these have not changed over the past years. Although many authors indicate that a systems approach could solve such interrelated problems, methods to do so are generally lacking for the complicated situation in a critical care setting. A new approach was developed, that is, combining Fuzzy Front End earliest stage product development and human factors methods, with a focus on all Human-tech levels and on their interaction. A concept built up from several emerging technologies was developed, including tactile alarms, artificial intelligence for medicine, multimodal alarm system and mobile communication in critical care. Current and envisioned nursing work was modelled. Outcome of the study is an overview of investigations to develop the measures.
机译:噪音是健康问题,长期听觉问题和发展问题的直接原因。早产婴儿尤其有听觉和神经认知发育的风险。新生儿重症监护病房(NICU)的声音水平非常高,可能会导致经常观察到的早产婴儿的有害结局。尽管在降低重症监护病房(NICU)的噪音水平方面做出了努力,但这些年来这些都没有改变。尽管许多作者指出,系统方法可以解决此类相互关联的问题,但对于重症监护环境中的复杂情况,通常缺少这样做的方法。开发了一种新方法,即将模糊前端最早的产品开发与人为因素方法相结合,重点是所有人类技术水平及其相互作用。从几种新兴技术建立了一个概念,包括触觉警报,医学人工智能,多模式警报系统和重症监护中的移动通信。对当前和预期的护理工作进行了建模。研究结果是对制定这些措施的调查的概述。

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