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Current Trends in Nursing II01:30

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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 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.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
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Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation01:24

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Planning for learning involves the development of a teaching plan. Teaching plans are similar to nursing care plans—both follow the steps of the nursing process. Planning in the teaching process involves setting goals and outcomes. Here, goals identify what a patient needs to achieve to understand a healthcare topic better, whereas the outcomes are the action to be performed by the patient to achieve the goal within a timeframe. For example, if the goal is to educate the patient about...
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Nursing Implementation01:15

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Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
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Non-equilibrium in the Cell01:16

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Nursing Clinical Information System01:27

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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.
Critical attributes of NCIS include:
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効果的な人工知能のプロンプトエンジニアリングを看護学生に教える:CAREフレームワーク

Mary E Bester1, Kathryn Zeigler

  • 1Author Affiliations: School of Nursing, Savannah, Georgia.

Nurse educator
|August 27, 2025
PubMed
まとめ

この研究は,CARE プロンプトエンジニアリング・フレームワークを導入し,人工知能 (AI) による批判的思考と臨床的意思決定の改善を支援します. 看護師の教育者はこのフレームワークを使って 効果的なAIプロンプトを教え 医療教育におけるAIの責任ある使用を保証できます

科学分野:

  • 医療専門職教育
  • 医療における人工知能
  • 臨床的意思決定支援

背景:

  • 効果的な人工知能 (AI) 誘導は,生徒がAIを活用して批判的思考と臨床的意思決定を深めるために不可欠です.
  • 教育にAIを統合するには 学生の交流と学習を導くための 構造化されたアプローチが必要です

研究 の 目的:

  • CARE (コンテキスト,アクション,役割,期待) プロンプト・エンジニアリング・フレームワークを紹介し,説明する.
  • 効果的なAIプロンプトを学生に教えるための体系的な方法を看護師教育者に提供する.
  • 人工知能による学習と臨床における 人間関係の大切さを強調する.

主な方法:

  • CARE プロンプトエンジニアリング・フレームワークの開発
  • 人工知能の相互作用の中で"人間関係"を維持することに重点を置く.
  • 改善されたAI出力のための補正誘導戦略を含む各CARE要素の議論.
  • AIの出力を検証し,文脈を修正し,フォローアップアクションを提出するプロセスです.

主要な成果:

  • 学生は自分のスキルを活用して AIに情報を問い合わせるため 効果的なプロンプト技術が必要です
  • インストラクターは 責任ある効率的な AI プロンプトエンジニアリングの モデル化に重要な役割を果たします
キーワード:
人工知能による学習臨床判断の発展看護教育における迅速な工学反射的な実践ロールモデル

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  • CAREのフレームワークは,検証,修正,フォローアップアクションを通じてAIの出力を精錬することを容易にする.

    • 結論:

    • CAREの枠組みは,看護師教育者が臨床的意思決定のスキルを教えるための体系的なアプローチを提供します.
    • 効果的なAIプロンプトエンジニアリングを 支援します
    • 学習と実践を向上させるために 効果的なAIプロンプトを開発し活用することを保証します.