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相关概念视频

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

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The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
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The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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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 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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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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在护理中以数据为中心的机器学习:一个概念澄清

Patricia A Ball Dunlap1, Eun-Shim Nahm, Elizabeth E Umberfield

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概括
此摘要是机器生成的。

该研究解释了针对护士的以数据为中心的人工智能 (AI),从以模型为中心的人工智能转变. 这种方法提高了护士参与设计人工智能技术和管理电子健康记录数据的机会.

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科学领域:

  • 护理信息学 护理信息学
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 电子健康记录产生了大量的医疗保健数据,为人工智能和机器学习 (ML) 提供了机会.
  • 虽然在护理中研究了AI/ML应用,但对以数据为中心的AI的转变在该学科中尚未得到广泛理解.
  • 大多数ML实现传统上使用以模型为中心的策略.

研究的目的:

  • 阐明用于护理的以数据为中心的机器学习 (ML) 概念.
  • 区分以数据为中心和以模型为中心的ML方法.
  • 突出以数据为中心的ML对护士参与技术设计和数据使用的优势.

主要方法:

  • 使用诺里斯概念澄清方法.
  • 在数据和计算机科学中探索以数据为中心的ML的起源.
  • 区分数据中心与模型中心的ML,包括ML操作生命周期.
  • 解释了以数据为中心的ML对护理的好处.

主要成果:

  • 确定了从以模型为中心到以数据为中心的AI的基本行业枢纽.
  • 澄清了两种ML方法之间的差异.
  • 强调护士参与人工智能技术设计和电子健康记录数据管理的重要性.

结论:

  • 由于其日益增长的重要性,护士需要了解以数据为中心的AI.
  • 这种方法使护士在技术设计和正确的数据利用方面有能力.
  • 转向以数据为中心的AI为护理学科提供了显著的优势.