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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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Nursing Code of Ethics01:29

Nursing Code of Ethics

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The Nursing Code of Ethics sets the ethical benchmark for the profession, and guides nurses in ethical analysis and decision making at the societal, organizational, and clinical levels. The code encompasses showing compassion and respect for the patient, their families, and communities in all circumstances while committing to providing patient-centered care. In addition, the code states that nurses must advocate for the patient by defending a cause or recommendation to protect their rights,...
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Nursing Ethical Principles I01:22

Nursing Ethical Principles I

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Ethical principles serve as the moral compass in the longstanding tradition of nursing, guiding healthcare professionals in their interactions with patients and families. These principles, namely autonomy, beneficence, non-maleficence, justice, and fidelity, provide a robust framework for navigating the ethical complexities of daily nursing practice.
Autonomy
Autonomy underscores the significance of a patient's self-determination and freedom from external control. In healthcare, respecting...
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Nursing Ethical Principles II01:27

Nursing Ethical Principles II

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Ethical principles are essential in guiding nurses to fulfill their responsibilities, focusing on the quality of nursing care and decision-making. These principles, including autonomy, beneficence, non-maleficence, justice, and fidelity, shape the ethical framework within healthcare settings.
Consider the following scenario, which illustrates how these principles are applied in the care of Mr. John, a fifty-year-old teacher diagnosed with metastatic liver cancer.
Initially, Mr. John's...
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Ethical Issues01:27

Ethical Issues

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Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
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Ethical Dilemmas I01:17

Ethical Dilemmas I

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Ethical dilemmas in nursing are of utmost importance, as they often arise from the tension between adhering to core ethical principles and the practical realities of healthcare delivery. These dilemmas require nurses to navigate complex situations where competing ethical considerations pull them in different directions.
Let us explore some examples to understand the potentially complex moral decisions nurses face.
Take the case of caring for minors, particularly in areas related to reproductive...
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Using Learning Outcome Measures to assess Doctoral Nursing Education
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生成性人工智能伦理工具包用于护理教育中的临床优先级.

Jennie C De Gagne1, David J Carrejo2, Hyeyoung Hwang3

  • 1School of Nursing, Duke University, Durham, NC, USA.

Nursing ethics
|March 4, 2026
PubMed
概括

一个新的工具包解决了护理教育中生成人工智能 (GenAI) 的伦理挑战. 它帮助学生和教师批判性地评估GenAI的偏见,并确保公平的患者护理.

科学领域:

  • 护理教育 护理教育
  • 人工智能伦理学 人工智能伦理学
  • 医疗信息学 医疗信息学

背景情况:

  • 在护理教育中采用生成人工智能 (GenAI) 引发了伦理方面的担忧,特别是在临床优先考虑方面.
  • 现有的人工智能素养资源缺乏对GenAI风险的护理特定指导,如偏见,不公平和错误信息.
  • 只有有限的工具可以支持GenAI辅助护理决策中的伦理推理.

研究的目的:

  • 将一个跨学科的人工智能伦理工具包适应为护理专用小工具包用于教育用途.
  • 整合伦理框架 (Rest的,网络伦理,Chan的生态模型) 进行全面的伦理推理.
  • 开发可操作的教学工具,以应对GenAI在护理方面的伦理挑战.

主要方法:

  • 通过使用三个互补的伦理框架,调整了一个开放访问的人工智能伦理学习工具包.
  • 综合Rest的四个组成部分模型 (学习者层面),网络伦理原则 (专业层面) 和Chan的生态模型 (机构层面).
  • 开发的案例简介,反思提示和教师评估标题专注于GenAI优先级场景.

主要成果:

  • 创建了一个以护理为重点的迷你工具包,在个人,专业和系统领域构建伦理推理.
  • 该工具包促进对GenAI的批判性评估,促进对话和专业判断.
关键词:
人工智能的人工智能是人工智能.偏见和股权的偏见和股权.关键的优先级优先级的确定.网络伦理学 网络伦理学伦理学教育学是道德教育学.伦理学 伦理 伦理学

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  • 它为识别偏见和确保GenAI使用中的问责制提供了结构化的机会.
  • 结论:

    • 迷你工具包将抽象的伦理原则转化为护理教育的可操作的教学工具.
    • 它使教师和学生成为GenAI的关键评价者,维护护士对公平和患者护理的承诺.
    • 这种方法提供了一个适应跨学科框架的模型,用于护理特定的人工智能伦理应用.