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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
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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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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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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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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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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用人工智能驱动的边缘计算为分布式IoMT网络转变智能医疗保健系统

Maram Fahaad Almufareh1, Mamoona Humayun2, Khalid Haseeb3

  • 1Department of Information System, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Al-Jouf, Saudi Arabia.

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概括
此摘要是机器生成的。

这项研究介绍了一个人工智能驱动的边缘计算模型,用于智能医疗保健系统. 这种创新方法增强了医疗物联网 (IoMT) 的网络异常检测,提高了系统的效率和响应能力.

关键词:
网络威胁 网络威胁医疗保健系统 医疗保健系统安全的安全的安全的安全的安全.智能技术 智能技术就是智能技术.可信度 值得信赖 值得信赖

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 医疗保健技术 技术 医疗保健 技术

背景情况:

  • 医疗物联网 (IoMT) 通过连接的设备和边缘计算实现了智能医疗保健系统 (SHM).
  • 现有的 IoMT 解决方案往往忽视了对公共基础设施的动态适应和受限制设备上的高效数据处理.
  • 挑战包括负载分布不均和在关键医疗保健场景中减少系统响应能力.

研究的目的:

  • 为增强智能医疗保健系统提供轻量级,人工智能驱动的边缘计算模型.
  • 改进分布式IoMT网络中的学习能力和异常检测.
  • 在动态的医疗环境中解决现有方法的局限性.

主要方法:

  • 为IoMT集成边缘计算的AI驱动模型的开发.
  • 为分布式环境实施高效的网络异常检测算法.
  • 通过使用合成数据的模拟进行验证和测试.

主要成果:

  • 与相关解决方案相比,拟议的模型显示了显著的改进.
  • 在能源消耗方面实现了53%的降低.
  • 延迟降低了46%,数据包丢失率降低了52%,开销降低了48%.
  • 增加了56%的网络吞吐量.

结论:

  • 由人工智能驱动的边缘计算模型为智能医疗保健提供了创新和高效的解决方案.
  • 该模型有效地检测到IoMT中的网络异常,而无需额外的系统开销.
  • 结果验证了该模型在改善能源消耗,延迟,数据包丢失,吞吐量和开销方面的有效性.