介護における生成型人工知能の研究の動向: スコーピングレビュー
Myung Jin Choi1, Myoung Hee Seo2, Jihun Kim3
1Department of Nursing, Presbyterian Medical Center, Jeonju, Korea.
Journal of Korean Academy of Nursing
|August 29, 2025
まとめ
人工知能 (AI) は看護のコミュニケーションと効率の向上などの利点がありますが,信頼性や倫理的な懸念などの限界があります. ガイドラインと教育の開発は,看護の実践,研究,教育における有効な使用の鍵です.
科学分野:
- 介護
- 人工知能
- 医療技術
背景:
- 人工知能 (AI) の応用については,看護学文献では十分に研究されていない.
- 人工知能の影響と可能性を 分析する必要があります
- AIの役割を理解することは 将来の看護の実践に不可欠です
研究 の 目的:
- 介護における人工知能研究を スコーピング・レビューする
- 介護分野におけるジェネラティブAIのトレンドを特定する.
- 介護における効果的な生成AI活用のための戦略を提案する.
主な方法:
- アークシーとオマレーのフレームワークに従って スコーピングレビュー
- 含有基準:看護学研究,ジェネラティブAIフォーカス,オリジナルの研究記事,学術出版物.
- PubMed,Embase,CINAHL,看護専門のジャーナルなどで 広範なデータベース検索を行いました
主要な成果:
- 403件の初期結果から58件の研究を分析した.
- 介護領域:情報検索とコミュニケーションの強み; 人間要素と信頼性の限界.
- 研究領域: 効率と普及における強み; 倫理と正確性における弱み
- 教育分野:時間の節約とコンテンツの作成の強み; 偏見と抄襲の課題
結論:
- 生成性AIは 介護の分野において 利点と限界の両方を 提示しています
- 効果的な適用には,包括的なガイドライン,ポリシー,およびユーザー教育が必要です.
- 看護師,教育者,学生の学習機会を創出することは不可欠です.
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