全程安全处置医疗废物的风险管理:进展与挑战》。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-06 eCollection Date: 2024-01-01 DOI:10.2147/RMHP.S464268
Ting Yang, Yanan Du, Mingzhen Sun, Jingjing Meng, Yiyi Li
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引用次数: 0

摘要

近十年来,SARS、甲型 H1N1 流感、COVID-19 等重大传染病在全球爆发,暴露出许多国家和地区医疗废物应急处置能力不足的问题。特别是在重大传染病流行期间,医疗废物呈现出生长速度加快、风险等级提高、处置要求更加严格等新特点。因此,亟需先进的理论方法,及时、准确、高效、全面地感知、预测、评估和控制整个过程中与安全处置相关的风险。本文对医疗废物的收集、储存、运输和处置整个过程中的相关研究进行了系统回顾,以说明安全处置实践的现状。在此基础上,利用物联网(IoT)、云计算、大数据分析和人工智能(AI)等新兴信息技术,我们深入探讨了未来的研究方向,旨在最大限度地降低医疗废物处置各阶段的风险,同时为进一步推进安全处置实践提供有价值的参考和决策支持。
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Risk Management for Whole-Process Safe Disposal of Medical Waste: Progress and Challenges.

Over the past decade, the global outbreaks of SARS, influenza A (H1N1), COVID-19, and other major infectious diseases have exposed the insufficient capacity for emergency disposal of medical waste in numerous countries and regions. Particularly during epidemics of major infectious diseases, medical waste exhibits new characteristics such as accelerated growth rate, heightened risk level, and more stringent disposal requirements. Consequently, there is an urgent need for advanced theoretical approaches that can perceive, predict, evaluate, and control risks associated with safe disposal throughout the entire process in a timely, accurate, efficient, and comprehensive manner. This article provides a systematic review of relevant research on collection, storage, transportation, and disposal of medical waste throughout its entirety to illustrate the current state of safe disposal practices. Building upon this foundation and leveraging emerging information technologies like Internet of Things (IoT), cloud computing, big data analytics, and artificial intelligence (AI), we deeply contemplate future research directions with an aim to minimize risks across all stages of medical waste disposal while offering valuable references and decision support to further advance safe disposal practices.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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