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Current Trends in Nursing II01:30

Current Trends in Nursing II

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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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Theoretical Foundations of Nursing Practice01:30

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Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
Theories provide a perspective to assess patients' conditions and organize data and methods. They also assist in analyzing and interpreting information. They represent a...
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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.
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The two sources for collecting information are primary and secondary. After gathering information, interpretation and validation help to complete the data. The purpose of assessment is to establish data with the initial information, to interpret data about the patient's perceived needs and health problems, and to respond to these problems identified.
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The scientific method provides the foundation for any research. It is the most reliable and objective of all forms of gaining knowledge and guides in applying research-based evidence in practice and conducting future research.
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Current trends in nursing include:
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护理研究中的自然语言处理 (NLP) 正在出现,其中的关键主题包括机器学习应用和健康结果. 通过NLP的整合,可以提高研究效率和护理质量.

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科学领域:

  • 护理科学 护理科学
  • 信息学是一种信息学.

背景情况:

  • 自然语言处理 (NLP) 在护理研究中的应用正在增长,但研究趋势和知识结构仍然不清楚.
  • 了解这些趋势对于推进护理学术和有效整合NLP至关重要.

研究的目的:

  • 揭示关于NLP的护理文献中的知识结构和研究趋势.
  • 确定新兴的研究主题,并为未来的NLP在护理研究中的整合提供基础.

主要方法:

  • 通过使用文本网络分析和主题建模,分析了443篇护理文献摘要.
  • 核心关键字分析和主题建模是基于频率和中心性的.

主要成果:

  • 出现了五个关键主题:术语识别和沟通,机器学习的应用,健康结果因素的探索,干预和参与者经验以及与疾病相关的算法.
  • 确定了护理元范式的元素,有助于对护理元范式的更深入理解和扩展.

结论:

  • 自然语言处理 (NLP) 在护理研究中处于早期阶段,但显示出提高研究效率和质量的潜力.
  • 结果支持将NLP整合到护理科目中,验证护理的价值,并推进护理科学范式.