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Issues And Trends In Healthcare Delivery System

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.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

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Updated: Oct 2, 2025

Development of New Therapeutic Applications Using Microfluidics

Development of New Therapeutic Applications Using Microfluidics

Published on: October 1, 2007

Breaking Barriers in Emerging Biomedical Applications.

Konstantinos Katzis¹, Lazar Berbakov², Gordana Gardašević³

¹Department of Computer Science and Engineering, European University Cyprus, Nicosia 2404, Cyprus.

Entropy (Basel, Switzerland)

|February 25, 2022

Summary

The COVID-19 pandemic highlighted healthcare system strain. Smart healthcare infrastructure using Internet of Things (IoT) sensors and information theory can improve remote patient monitoring and personalized treatments.

Keywords:

Internet of Things applications biomedical emerging technologies entropy image compression security smart healthcare

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Last Updated: Oct 2, 2025

Development of New Therapeutic Applications Using Microfluidics

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Area of Science:

Biomedical Engineering
Computer Science
Information Theory

Background:

The COVID-19 pandemic exposed limitations in current healthcare systems' capacity to handle patient surges.
Smart healthcare infrastructure, leveraging remote monitoring and personalized treatment, offers a solution to alleviate system load.
Advances in communication and sensing technologies enable portable, power-efficient biomedical sensors for healthcare applications.

Purpose of the Study:

To identify communication requirements for widespread adoption of smart healthcare sensors.
To provide an overview of underlying Internet of Things (IoT) technologies for smart healthcare.
To explore the role of information theory in understanding limitations and barriers in IoT healthcare.

Main Methods:

Overview of Internet of Things (IoT) technologies relevant to healthcare sensor networks.
Analysis of communication requirements for mass deployment of smart healthcare sensors.
Exploration of information theory principles, including data compression and entropy, in the context of secure IoT healthcare.

Main Results:

Identified key communication needs for scalable smart healthcare sensor networks.
Highlighted the critical role of reliable, resilient, and secure networks for healthcare applications.
Demonstrated how data compression and entropy concepts can facilitate the secure mass deployment of IoT healthcare devices.

Conclusions:

Smart healthcare infrastructure is essential for future healthcare resilience.
Information theory provides crucial insights into optimizing and securing IoT healthcare systems.
Data compression and entropy are key enablers for the widespread adoption of IoT in healthcare.