Sustainable medical waste management is a key part of the green hospital approach, which also includes energy efficiency, carbon reduction, sustainable procurement and resource conservation. A systematic review of 21 studies published between 2020 and 2025 found that effective waste management depends on staff behaviour, hospital processes, technology, environmental assessment and governance working together. Fifteen studies provided direct evidence on medical or healthcare waste management, while six provided contextual or transferable evidence. Overall, the findings support combining behavioural reinforcement, operational improvements, appropriate digital tools, environmental and economic assessment and effective governance rather than relying on a single sustainability intervention.
Training Alone Is Not Enough
Behaviour, education and waste segregation were the most frequently examined areas. Poor performance was repeatedly associated with inadequate knowledge, limited training, weak organisational reinforcement and insufficient infrastructure. Educational interventions improved knowledge and practices in some healthcare settings, but these gains were not always maintained. In one operating-room intervention, improvements weakened after two months. Passive provision of disposal information or kits also failed to produce a significant improvement in safe disposal behaviour. Digital or video-based education improved environmental knowledge and behaviour in some settings, although these interventions did not directly measure medical waste outcomes.
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These findings indicate that education works best when supported by broader organisational measures. Problems with policy awareness, continuing education and infrastructure appeared alongside gaps in staff knowledge and segregation practices. Leadership and governance were also important for maintaining compliance. Sustainable practices depended not only on frontline staff engagement but also on organisational readiness and strategic leadership.
Continuous professional development, real-time feedback and organisational reinforcement may therefore provide more lasting results than isolated training programmes. Targeting the behaviours that have the greatest impact may also help organisations design more focused interventions.
Waste segregation is not only an environmental issue. Inconsistent segregation and disposal can affect workflow reliability and patient safety because poorly managed medical waste carries infection, cytotoxic and chemical-exposure risks.
Digital Tools Need Real-World Validation
Digital and analytical approaches were used for waste monitoring, route optimisation, risk analysis and treatment-technology selection. Some systems supported waste tracking and identification of problem areas, while modelling tools helped with risk prioritisation, healthcare supply-chain resilience and circular-economy planning. Logistics modelling also suggested potential reductions in energy costs, emissions and transport risks.
However, the evidence for digital tools remains mixed. Some improvements came from modelling or from waste-management settings outside healthcare rather than routine hospital practice. Available evidence did not establish that artificial intelligence (AI)-enabled segregation systems consistently improve segregation or compliance in hospitals. Digital technology should therefore be treated as an enabling tool rather than a complete solution.
Effective implementation also depends on good-quality data, integration with existing workflows, organisational ownership and staff engagement. Investments in digital systems should include interoperability and user-centred design so that technologies fit routine clinical and operational processes.
The quality of the evidence also limits firm conclusions. Modelling and optimisation studies generally used appropriate analytical structures, but external validation and uncertainty or sensitivity analyses were inconsistent. More real-world evaluation of Internet of Things and AI-enabled waste-management systems is needed, particularly in healthcare environments.
Digital tools may therefore improve monitoring, decision-making and operational efficiency, but their value depends on how well they are integrated into wider waste-management systems.
Governance and Infrastructure Remain Critical
Environmental and economic approaches addressed waste generation, misclassification, management costs, logistics, circularity and resource recovery. Hospital size, service intensity and specialised units were identified as important factors affecting waste-management costs. Some studies measured waste generation and classification problems, while others modelled hazardous-waste volumes, transport risks and environmental costs.
Forecasting and logistics models suggested potential reductions in emissions and operating costs. Other approaches examined circular-economy adoption, healthcare supply-chain resilience and the choice of waste-treatment technologies. Overall, these findings point to opportunities to reduce environmental impact, improve resource use and control costs. However, these benefits have not been demonstrated consistently through real-world hospital implementation.
Organisational and structural barriers remain important. Reported problems included weak regulatory enforcement, insufficient funding, inadequate infrastructure and equipment, limited staff training, fragmented responsibility and poor access to suitable waste storage or treatment facilities. Governance, stakeholder participation and institutional capacity influenced segregation, disposal, regulatory compliance and the adoption of circular-economy practices.
Hospitals and health systems therefore need sustainability strategies that combine staff support, technology and governance with adequate infrastructure. Policy priorities include stronger use of circular-economy principles, support for sustainable technologies and investment in infrastructure. Further comparative and lifecycle assessments across different healthcare settings and waste-management systems could also provide clearer evidence on long-term environmental and economic outcomes.
Sustainable medical waste management requires coordinated action across behaviour, operations, technology, environmental assessment and governance. Training can improve knowledge and practice, but the effect may decline without reinforcement, feedback, infrastructure and organisational accountability. Digital and modelling tools may support better operational and environmental performance, although evidence from routine healthcare settings remains limited. Financial, regulatory and institutional barriers can also slow progress. The evidence therefore supports combining several complementary measures rather than relying on a single sustainability intervention, while further healthcare-specific evaluation is still needed.
Source: International Journal for Quality in Health Care
Image Credit: iStock
References:
Kayral IH, Manga YB, Boz Ş et al. (2026) Medical Waste Management within the Green Hospital Approach: A Systematic Review of Direct, Contextual, and Transferable Evidence. International Journal for Quality in Health Care: mzag103.
