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Issues And Trends In Healthcare Delivery System

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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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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Developing a wireless sensor network based on a proposed algorithm for healthcare purposes.

Reza Abbasi-Kesbi¹, Zahra Asadi², Alireza Nikfarjam¹

¹1MEMS and NEMS Laboratory, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.

Biomedical Engineering Letters

|March 17, 2020

Summary

This summary is machine-generated.

A new wireless sensor network and algorithm monitor hospital environmental conditions. This system accurately tracks temperature, humidity, and gases, enhancing patient health environments.

Keywords:

Healthcare Proposed algorithm Wireless sensor network

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Area of Science:

Biomedical Engineering
Environmental Monitoring
Wireless Sensor Networks

Background:

Effective environmental monitoring is crucial for patient safety and healthcare quality.
Existing systems may lack comprehensive real-time data collection for critical environmental parameters.
The integration of wireless sensor networks offers a scalable solution for continuous monitoring.

Purpose of the Study:

To develop and evaluate a wireless sensor network (WSN) system with a novel algorithm for monitoring key environmental parameters in healthcare settings.
To assess the accuracy and reliability of the WSN in real-time data collection within a hospital environment.
To provide timely environmental data to healthcare staff for proactive health management.

Main Methods:

Development of a wireless sensor network comprising one central node and four sensor nodes.
Integration of sensors for temperature, humidity, Carbon Monoxide (CO), Carbon Dioxide (CO2), and passive infrared detection.
Implementation of a proposed algorithm with a frame-based packet structure for data transmission.
Deployment of sensor nodes in hospital rooms and the central node in a nurse station for testing.

Main Results:

The developed WSN accurately monitored environmental parameters, including temperature, humidity, and gases (CO, CO2).
Comparison with gold standards demonstrated low root mean square errors: 1.1% for humidity, for temperature, and 0.98% for gases.
The system provided reliable, real-time feedback to the nurse station.

Conclusions:

The developed wireless sensor network and algorithm effectively monitor critical environmental parameters in healthcare settings.
The system's accuracy and real-time feedback capabilities contribute to maintaining a healthier environment for patients.
This technology enhances patient care by enabling timely interventions based on environmental data.