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Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Related Experiment Videos

A blockchain-enabled IoT framework for smart electro-medical waste management.

K Suresh Kumar1, T Ananth Kumar2, Christo Ananth3

  • 1Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, 641202, India.

Scientific Reports
|July 2, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a blockchain and IoT framework for secure electro-medical waste management. The BIOT-EMW system enhances traceability and safety in healthcare facilities.

Keywords:
BlockchainComputer visionConvolutional neural networksElectro-medical wastesInternet of things

Related Experiment Videos

Area of Science:

  • Computer Science
  • Environmental Science
  • Healthcare Technology

Background:

  • Electro-medical waste (EMW) management faces significant challenges in traceability, regulatory adherence, and safety within healthcare settings.
  • Improper EMW handling poses risks to public health and the environment, necessitating advanced management solutions.

Purpose of the Study:

  • To propose and evaluate a novel framework, BIOT-EMW, for secure and transparent electro-medical waste lifecycle management.
  • To integrate Internet of Things (IoT) sensing, blockchain-based auditability, and edge-level intelligence for automated EMW handling.

Main Methods:

  • Developed a blockchain-integrated IoT framework (BIOT-EMW) incorporating edge-level intelligence.
  • Deployed a convolutional neural network (CNN)-based computer vision module at the edge for automated EMW classification.
  • Evaluated system-level operational metrics including latency, delay, bandwidth, power consumption, resource utilization, and scalability.

Main Results:

  • Edge-level processing latency: 3.45–9.33 ms; End-to-edge delay: 6.43–12.11 ms.
  • Bandwidth usage: 24.54–34.87 Mbps; Power consumption: 6.5–13.31 mW.
  • Resource utilization: 78–92%; Scalability: up to 97%.

Conclusions:

  • The BIOT-EMW framework demonstrates feasible and efficient operation for automated electro-medical waste management.
  • The system shows promising scalability for smart healthcare facilities, enhancing transparency and safety in EMW handling.