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Issues And Trends In Healthcare Delivery System01:29

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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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS 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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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Design and Analysis for Fall Detection System Simplification
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通过以人为中心的人工智能为基础的决策支持系统,简化患者倒预防和管理.

Firda Rahmadani1, Fatima Y Alshamsi2, Balqees Almazrouei2

  • 1Department of Management Science and Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.

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PubMed
概括
此摘要是机器生成的。

这项研究探讨了人工智能 (AI) 用于预测患者跌倒. 由人工智能驱动的系统增强了跌倒风险评估,实现了个性化干预,提高了医疗保健的运营效率.

关键词:
人工智能的人工智能是人工智能.决策支持系统 决策支持系统秋季预测 秋季预测防摔 防止跌倒 预防跌倒人与人工智能的互动患者跌倒,患者跌倒.患者安全 患者安全风险管理 风险管理系统思维 系统思维

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科学领域:

  • 医疗保健信息学 医疗保健信息学
  • 患者安全 患者安全
  • 人工智能在医学中的应用

背景情况:

  • 患者跌倒对安全构成重大风险,延长住院时间,增加医疗保健费用.
  • 目前的防摔策略往往缺乏精度和适应性,需要先进的预测方法.
  • 系统思维方法至关重要,将失败视为相互连接的医疗保健系统中的复杂结果.

研究的目的:

  • 审查关于整合以人为中心的人工智能 (AI) 决策支持系统的文献,以防止跌倒.
  • 探索AI在主动风险评估,预测和个性化干预策略中的作用.
  • 突出系统思维和因果循环分析对动态防摔策略的应用.

主要方法:

  • 关于人工智能和患者跌倒预防的当前研究的文献综述.
  • 探索以人为中心的AI决策支持系统,用于风险评估和预测.
  • 系统思维原则的应用,包括因果循环分析,用于战略制定.

主要成果:

  • 基于人工智能的系统可以通过通过传感器和可穿戴设备实时监控,提前识别落风险.
  • 人工智能集成可以促进个性化干预和及时提醒护理人员.
  • 系统思维为开发动态的,相互关联的战略提供了框架,以提高防摔和运营效率.

结论:

  • 以人为中心的人工智能决策支持系统为积极预防患者跌倒提供了一个有前途的方法.
  • 将人工智能与先进的监控技术相结合,可以显著提高患者的安全性和资源配置.
  • 采用系统思维观点对于制定全面有效的防摔策略至关重要.