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相关概念视频

Current Trends in Nursing I01:28

Current Trends in Nursing I

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Current trends in nursing include:
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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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The Professional Nurse01:22

The Professional Nurse

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Professional nurses are not limited to bedside care and are taking roles of greater responsibility. A nurse should have a knowledge-based practice, including personal, theoretical, procedural, cultural, and reflexive knowledge. Additionally, nurses must be competent in cognitive, technical, interpersonal, and ethical/legal skills. Some of the best attributes of successful nurses include the following:
Communication skills: These are critical characteristics, especially speaking and listening.
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Data Collection II01:29

Data Collection II

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Nursing Assessment01:29

Nursing Assessment

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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.
The nurse collects all aspects of the patient's health in the initial assessment, establishing priorities for ongoing focused assessments...
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Data Collection I01:30

Data Collection I

6.2K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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相关实验视频

Updated: Jun 19, 2025

Using Learning Outcome Measures to assess Doctoral Nursing Education
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为护理博士生推进数据科学能力.

Suzanne Bakken1, Caitlin Dreisbach2, Sergey Kisselev1

  • 1Columbia University, New York, New York, USA.

Studies in health technology and informatics
|July 25, 2024
PubMed
概括

一个新的数据科学课程为博士生护理学生提高了他们的技能使用大数据和人工智能工具. 学生在完成15周的课程后,表现出数据科学能力的提高.

科学领域:

  • 护理研究 护理研究
  • 数据科学教育数据科学教育
  • 医疗保健中的人工智能

背景情况:

  • 数据科学在护理研究中的重要性越来越大,需要专门的培训.
  • 现有的博士课程可能不够涵盖先进的数据科学方法.
  • 越来越需要将大数据分析和人工智能集成到护理学术中.

研究的目的:

  • 在博士护理课程中开发和实施数据科学课程.
  • 为未来的护士科学家提供基本的数据科学和人工智能能力.
  • 评估课程对学生自我感知数据科学能力的影响.

主要方法:

  • 一个3学分,15周的课程被整合到哥伦比亚大学护理学院的第二年博士课程中.
  • 学生们使用一个大数据源,Jupyter Notebook和R编程语言来解决一个研究问题.
  • 在2023年,生成性AI工具被纳入课程中.

主要成果:

  • 学生的自我评估表明,数据科学能力比基准水平有所改善.
  • 该课程提供了应用数据科学技术在护理研究问题上的实践经验.
  • 人工智能工具的整合反映了该领域的最新进展.
关键词:
教育教育教育教育教育教育.数据科学数据科学生成型的人工智能视觉化的可视化

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结论:

  • 开发的数据科学课程有效地提高了博士生护理学生的能力.
  • 这个案例研究为数据科学和护理人工智能教育提供了宝贵的见解.
  • 该课程为寻求加强护理数据科学培训的其他机构提供了典范.