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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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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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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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Communication is a lifelong learning process. Through therapeutic communication, nurses can collect relevant assessment data, provide education and counseling, and interact during nursing interventions. Sending and receiving messages occur through verbal and nonverbal communication techniques and can happen separately or simultaneously.
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如何生成的人工智能语音代理将改变医学.

Scott J Adams1, Julián N Acosta2, Pranav Rajpurkar3

  • 1Department of Medical Imaging, Royal University Hospital, University of Saskatchewan, Saskatoon, SK, Canada.

NPJ digital medicine
|June 12, 2025
PubMed
概括

生成型人工智能语音代理可以提高患者在医疗保健中的参与度. 周到的实施可以扩大临床医生的覆盖范围,克服人力资源的局限性.

科学领域:

  • 医疗保健中的人工智能
  • 自然语言处理自然语言处理.
  • 人与计算机的交互

背景情况:

  • 生成型人工智能语音代理是使用大型语言模型的高级对话系统.
  • 这些系统可以实时处理和生成类似人类的语音.

研究的目的:

  • 探索医疗系统中生成人工智能语音代理的变革潜力.
  • 确定将其纳入患者参与策略的关键考虑因素.

主要方法:

  • 在医疗保健沟通中对生成人工智能能力的概念分析.
  • 审查潜在的技术和实施挑战.
  • 讨论设计,验证和部署策略.

主要成果:

  • 生成型人工智能语音代理显示出对彻底改变患者参与的承诺.
  • 成功的整合需要解决技术障碍并确保负责任的部署.
  • 这些药物可以增加临床能力,扩大医疗保健系统的覆盖范围.

结论:

  • 生成型人工智能语音代理代表了医疗技术的重大进步.
  • 经过仔细的规划,他们可以成为护理团队的组成部分,增强患者的互动.

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  • 克服实施挑战对于实现其在扩展医疗保健服务方面的全部潜力至关重要.