Scholarlink

Biomedical waste, including infectious, pathological, sharps, pharmaceutical, chemical, and radioactive materials, poses significant risks to human health and the environment. Mismanagement leads to public health issues, environmental contamination, and economic costs. As healthcare services expand globally, the growing volume of waste highlights the need for advanced solutions. This study examines the role of integrating AI, IoT, cloud computing, and big data analytics to enhance waste management practices’ efficiency, precision, and sustainability. It also explores global regulations and presents case studies of successful technologies, showcasing improvements in efficiency, cost-effectiveness, and compliance while reducing safety risks and environmental impacts.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Intelligent Systems in Biomedical Waste Management: Digital Technologies as Catalysts for a Sustainable Future

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Jyoti,
  • Nimitha P. Sreenivas,
  • Vijay Kumar Yadav,
  • Anjali Lathwal

摘要

Biomedical waste, including infectious, pathological, sharps, pharmaceutical, chemical, and radioactive materials, poses significant risks to human health and the environment. Mismanagement leads to public health issues, environmental contamination, and economic costs. As healthcare services expand globally, the growing volume of waste highlights the need for advanced solutions. This study examines the role of integrating AI, IoT, cloud computing, and big data analytics to enhance waste management practices’ efficiency, precision, and sustainability. It also explores global regulations and presents case studies of successful technologies, showcasing improvements in efficiency, cost-effectiveness, and compliance while reducing safety risks and environmental impacts.