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Related Concept Videos

Integrated Healthcare System01:20

Integrated Healthcare System

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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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Secondary Healthcare System01:11

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Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...
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Methods Of Healthcare Delivery System01:26

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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Tertiary Healthcare System01:21

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Specialized care provided over an extended period is called tertiary care. Usually, a primary or secondary care physician will refer a patient to tertiary care. A patient's maximum physical and mental function is restored in tertiary care, which is caused due to the impact of a chronic illness or condition. Tertiary care aims to achieve the highest level of functioning possible while managing chronic illness. For example, a patient who falls and fractures their hip will need secondary care...
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Issues And Trends In Healthcare Delivery System01:29

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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.
Cost Containment
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A Novel Framework for Fog-Assisted Smart Healthcare System with Workload Optimization.

Ahmed A H Abdellatif1,2, Aman Singh2,3, Abdulaziz Aldribi2,4

  • 1Department of Pharmaceutics, College of Pharmacy, Qassim University Buraydah, Buraydah, Saudi Arabia.

Computational Intelligence and Neuroscience
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This summary is machine-generated.

This study introduces an optimized fog-assisted smart healthcare system using advanced analytics and genetic algorithms. The novel framework significantly reduces latency and execution time for faster, more accurate patient care.

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Area of Science:

  • Internet of Things (IoT) and Fog Computing in Healthcare

Background:

  • Fog networks in smart healthcare face challenges in managing dynamic, heterogeneous environments and increasing workloads.
  • Efficient processing of data from sensor-based devices is crucial for speeding up smart healthcare system functionality.

Purpose of the Study:

  • To present a novel framework for smart healthcare designed to minimize latency and execution time.
  • To enhance the efficiency and stability of fog-assisted smart healthcare systems.

Main Methods:

  • Utilized Principal Component Analysis (PCA) for effective feature reduction.
  • Employed Support Vector Machines (SVM) with a Radial Basis Function (RBF) kernel for data classification.
  • Implemented a genetic algorithm for optimizing workload distribution on fog nodes.
  • Incorporated data preprocessing for cleaner data generation.

Main Results:

  • The proposed framework demonstrated superior performance compared to existing systems.
  • Significant improvements were observed in latency, execution time, system accuracy, and system stability.

Conclusions:

  • The amalgamation of intelligent techniques and optimization algorithms effectively boosts the overall system efficiency.
  • The novel framework offers a promising solution for advanced fog-assisted smart healthcare applications.