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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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Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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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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相关实验视频

Updated: Jul 2, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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关于人工智能采用的跨国研究:临床实施者的观点

Luis Marco-Ruiz1, Miguel Ángel Tejedor Hernández1, Phuong Dinh Ngo1

  • 1Norwegian Centre for E-Health Research, University Hospital of North Norway, Tromsø, Norway.

International journal of medical informatics
|February 20, 2024
PubMed
概括
此摘要是机器生成的。

实施人工智能 (AI) 在医疗保健中需要的不仅仅是研究;它需要临床验证,从业人员的参与,以及更好的数据管理. 解决这些因素是成功在临床环境中采用人工智能的关键.

关键词:
人工智能实施实施AI实施人工智能的人工智能是人工智能.医疗保健 医疗保健 医疗保健 医疗保健实施科学 实施科学机器学习 机器学习电子健康 电子健康

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科学领域:

  • 医疗保健人工智能的人工智能
  • 临床实施 临床实施
  • 医疗信息学 医疗信息学

背景情况:

  • 尽管人工智能在医疗保健领域取得了进展,但许多系统未能从研究过渡到临床实践.
  • 人工智能投资通常在原型阶段停滞不前,阻碍了现实世界的应用.

研究的目的:

  • 确定临床AI实施的挑战和成功因素.
  • 收集人工智能实施者的见解,以提高未来的采用率.

主要方法:

  • 对37个临床人工智能实施者的半结构面试进行了定性分析.
  • 用于分析挑战,成功因素和人工智能采用建议的框架方法.

主要成果:

  • 临床验证优先于AI可解释性.
  • 临床从业人员的参与和改进的数据管理结构至关重要.
  • 加强监管支持,提高人工智能素养,以及更好的资金计划是人工智能实施所需的.

结论:

  • 人工智能对临床环境具有前景,但成功转移需要进行监管,程序,教育和财务调整.
  • 有效实施人工智能需要采用多方面的方法,包括验证,利益相关者参与和基础设施.