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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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基于人工智能的消费者健康信息应用:范围审查

Onur Asan1, Euiji Choi2, Xiaomei Wang3

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Journal of medical Internet research
|August 30, 2023
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医疗保健中的人工智能 (AI) 增强了以患者为中心的护理. 这份基于人工智能的消费者健康信息学 (CHI) 综述显示,它对患者的结果和感知产生了积极的影响.

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人工智能的人工智能是人工智能.消费者信息学 消费者信息学数字健康数字健康移动健康 移动健康 移动健康 移动健康机器学习是机器学习.移动健康的移动健康手机电话 手机电话手机电话患者的治疗结果.个性化医疗保健是个性化的医疗保健.

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科学领域:

  • 医疗信息学 医疗信息学
  • 人工智能的人工智能
  • 以患者为中心的护理

背景情况:

  • 人工智能 (AI) 正在改变医疗保健,提高患者的可访问性和参与度.
  • 患者正在成为医疗技术的主要消费者和决策者.
  • 研究患者的感知和结果对于将AI整合到医疗保健中至关重要.

研究的目的:

  • 审查和分析基于人工智能的消费者健康信息学 (CHI) 研究.
  • 了解基于AI的CHI对以患者为中心的护理的影响.
  • 识别人工智能驱动的健康信息学的趋势和结果.

主要方法:

  • 在2022年7月之前对PubMed上的同行评审论文进行范围审查.
  • 包括研究基于AI的CHI工具,报告患者的结果或感知.
  • 分析了20篇符合条件的论文.

主要成果:

  • 基于AI的CHI系统在移动医疗 (65%),机器人 (25%) 和远程医疗 (10%) 中占据了突出地位.
  • 所有系统都专注于提供个性化的患者护理.
  • 研究表明,跨学科的研究对患者的结果和感知有好处.

结论:

  • 基于AI的CHI系统在影响患者的结果和感知方面呈现出积极的趋势.
  • 需要进一步研究临床医生的观点和将其整合到医疗保健工作流程中.
  • 人工智能对以患者为中心的医疗保健进步具有重大潜力.