Risk Management for Whole-Process Safe Disposal of Medical Waste: Progress and Challenges.

major infectious diseases medical waste progress and challenges safe disposal

Journal

Risk management and healthcare policy
ISSN: 1179-1594
Titre abrégé: Risk Manag Healthc Policy
Pays: England
ID NLM: 101566264

Informations de publication

Date de publication:
2024
Historique:
received: 28 02 2024
accepted: 23 05 2024
medline: 11 6 2024
pubmed: 11 6 2024
entrez: 11 6 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38859877
doi: 10.2147/RMHP.S464268
pii: 464268
pmc: PMC11164087
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1503-1522

Informations de copyright

© 2024 Yang et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest in this work.

Auteurs

Ting Yang (T)

School of Health Services Management, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.
Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology), Hefei, Anhui, 230009, People's Republic of China.

Yanan Du (Y)

School of Health Services Management, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.

Mingzhen Sun (M)

School of Health Services Management, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.

Jingjing Meng (J)

School of Health Services Management, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.

Yiyi Li (Y)

School of Health Services Management, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.

Classifications MeSH