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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.
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Health Care Equity Through Intelligent Edge Computing and Augmented Reality/Virtual Reality: A Systematic Review.

Vishal Lakshminarayanan¹, Aswathy Ravikumar¹, Harini Sriraman¹

¹School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, TN, India.

Journal of Multidisciplinary Healthcare

|September 27, 2023

Summary

This summary is machine-generated.

Intelligent edge computing (IEC) offers a practical solution for healthcare by processing data locally, enhancing privacy and affordability. This approach, combined with the Internet of Medical Things (IoMT), promotes healthcare equity, especially in remote areas.

Keywords:

digital health distributed computing equitable healthcare internet of things machine learning

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Area of Science:

Healthcare Technology
Computer Science
Medical Informatics

Background:

Intellectual capital is a scarce resource in healthcare, hindering the development of intelligent healthcare systems.
Centralized and deep learning systems struggle with the increasing volume of global health records and application challenges.
The Internet of Medical Things (IoMT) and edge computing present practical and cost-effective solutions to resource scarcity.

Purpose of the Study:

To examine the role of intelligent edge computing (IEC) in the IoMT era for achieving healthcare equity.
To explore IEC as a method for distribution and collaborative information management in digital healthcare.
To highlight the potential of IEC in improving data privacy and affordability in digital healthcare.

Main Methods:

Review of intelligent edge computing applications in the IoMT.
Analysis of IEC's role in data processing, distribution, and collaborative management.
Exploration of IEC with Augmented Reality/Virtual Reality (AR/VR) for cost-effective data collection in underserved areas.

Main Results:

IEC enables local processing of digital health data, significantly enhancing privacy by minimizing data exchange with central servers.
IEC, particularly with AR/VR (edge device shadow), offers an affordable solution for data collection in remote and rural areas lacking expensive equipment.
The integration of intelligent edge device shadows and edge computing facilitates healthcare equity.

Conclusions:

Intelligent edge computing is a transformative technology for the IoMT era, addressing healthcare resource scarcity and promoting equity.
IEC-based collaborative information management provides a sustainable model for long-term digital healthcare systems.
By enhancing privacy and affordability, IEC makes digital healthcare more accessible and equitable, especially in resource-limited settings.