[在数字化转型中的护理教育:临床推理培训中的数字模拟应用和结果]
Bo-Cyuan Wang1, Chiao-Jo Ho2, Chia-Han Yeh2,3
1Department of Nursing, Chang Gung University of Science and Technology, Taiwan, ROC.
Hu li za zhi The journal of nursing
|February 3, 2026
概括
数字模拟有效地提高了护理教育中的临床推理技能,提高了患者的安全. 这种方法克服了传统的局限性,并整合了人工智能,以获得更好的学习成果.
科学领域:
- 护理教育 护理教育
- 医疗模拟 医疗模拟
- 数字学习技术数字学习技术
背景情况:
- 临床推理对于患者安全和护理护理质量至关重要.
- 基于模拟的教育是开发临床推理的经过验证的方法.
- 数字化转型正在推动教育领域的新模拟方法.
研究的目的:
- 引入培养护士学生临床推理技能的方法.
- 用Kolb的体验式学习理论来说明数字模拟在护理教育中的应用和结果.
- 提出未来的方向,并评估人工智能在护理教育的数字模拟中的整合.
主要方法:
- 采用以目标为导向的视角来讨论临床推理培养.
- 将科尔布的体验式学习理论应用于护理中的数字模拟.
- 评估人工智能在数字模拟中集成的可行性.
主要成果:
- 数字模拟克服了传统方法的时间和空间限制.
- 数字模拟在提高护理学生临床推理技能方面表现有前途.
- 人工智能集成为教育工作者和学生提供了优化数字学习工具的潜力.
结论:
- 数字模拟是护理教育的宝贵工具,增强了临床推理.
- 将人工智能集成到数字模拟中可以进一步支持教育工作者和学生.
- 未来的研究应该专注于优化人工智能驱动的护理实践数字模拟.
相关概念视频
Nursing Clinical Information System
1.3K
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.
Critical attributes of NCIS include:
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.
Critical attributes of NCIS include:
1.3K
Reason and Intuition
7.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.5K
Social Foundations of Self IV: Self in Digital Communication
204
Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
204
Reasoning
437
Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
437
Deductive Reasoning
68.8K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
For example, a researcher can deduce specific predictions...
68.8K
Inductive Reasoning
67.8K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
67.8K


