Waste 4.0: transforming medical waste management through digitalization and automated segregation

Abstract Medical waste management is a crucial issue due to its potential health risks to humans and harm to the environment. The World Health Organization (WHO) advises separating medical waste into seven groups based on its type. However, despite the implementation of color-coded bin bags, cases of missegregation still occur frequently, leading to injuries and spreading diseases. Infectious waste such as sharps, human tissue, and body parts are often found mixed in waste bins, posing a severe threat to waste employees. To address this issue, this paper proposes exploring the potential of digitalization in waste segregation. The literature on current segregation methods and technology applications is analysed and compared, and a framework for utilizing barcode tagging and scanning to ensure waste is correctly categorized is presented. The barcodes and scanner will be connected through a monitoring system, which can notify waste generators and collectors of misplacing or mixed waste. This digitalization system is expected to serve as a monitoring agent for segregating waste before it is collected from any health facilities. Additionally, the exchanged data from waste generator bins can inform collectors and other waste stakeholders about the waste's condition, potentially opening up opportunities for recycling companies to purchase used plastics or metals from hospital wastes. By implementing digitalization in medical waste management, waste segregation can improve, reduce the spread of diseases and injuries, and promote the recycling of hospital waste materials.

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Publication Details

Journal
Discover Sustainability
Published
2024-10-25
DOI
https://doi.org/10.1007/s43621-024-00593-9
Citations
7
Primary Topic
Healthcare and Environmental Waste Management
Type
article
Field-Weighted Citation Impact
3.80

Funders

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article

Waste 4.0: transforming medical waste management through digitalization and automated segregation

Samir Khan, Nurul Hamizah Mohamed, Sandeep Jagtap
7 citations
Discover Sustainability
Healthcare and Environmental Waste Management
3.80
article

Waste 4.0: transforming medical waste management through digitalization and automated segregation

Samir Khan, Nurul Hamizah Mohamed, Sandeep Jagtap
article en
7 citations

Abstract

Abstract Medical waste management is a crucial issue due to its potential health risks to humans and harm to the environment. The World Health Organization (WHO) advises separating medical waste into seven groups based on its type. However, despite the implementation of color-coded bin bags, cases of missegregation still occur frequently, leading to injuries and spreading diseases. Infectious waste such as sharps, human tissue, and body parts are often found mixed in waste bins, posing a severe threat to waste employees. To address this issue, this paper proposes exploring the potential of digitalization in waste segregation. The literature on current segregation methods and technology applications is analysed and compared, and a framework for utilizing barcode tagging and scanning to ensure waste is correctly categorized is presented. The barcodes and scanner will be connected through a monitoring system, which can notify waste generators and collectors of misplacing or mixed waste. This digitalization system is expected to serve as a monitoring agent for segregating waste before it is collected from any health facilities. Additionally, the exchanged data from waste generator bins can inform collectors and other waste stakeholders about the waste's condition, potentially opening up opportunities for recycling companies to purchase used plastics or metals from hospital wastes. By implementing digitalization in medical waste management, waste segregation can improve, reduce the spread of diseases and injuries, and promote the recycling of hospital waste materials.

Discover SustainabilityVol. 5(1)
Lund University (SE), Cranfield University (GB)
Lunds Universitet
Openalex Percentile: Top 6%
Healthcare and Environmental Waste Management
3.80
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Waste 4.0: transforming medical waste management through digitalization and automated segregation — Samir Khan, Nurul Hamizah Mohamed, et al. · Discover Sustainability (2024) | TGRS Research Map | TGRS