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Updated: Sep 10, 2025

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AIとプライマリケア: スコップレビュー
Gellert Katonai1,2,3, Nora Arvai1,3,4, Bertalan Mesko1,3
1Kálmán Laki Doctoral School of Biomedical and Clinical Sciences, University of Debrecen, Egyetem tér 1, Főépület földszint 15/A, Debrecen, 4032, Hungary, 36 52-258-010 ext. 58010.
Journal of medical Internet research
|August 21, 2025
まとめ
人工知能 (AI) はプライマリヘルスケア (PHC) を強化できるが,実施の障壁に直面している. ユースビリティ,ワークフロー,公平性を重視することは,一般医療におけるAI統合の成功に不可欠です.
科学分野:
- 医療情報学
- 主要な医療研究
- 医療における人工知能
背景:
- 主要保健医療 (PHC) は,アクセシブルで継続的なケアに不可欠ですが,労働力不足,管理上の負担,そして増加する多病性です.
- 人工知能 (AI) は,診断,効率化,意思決定を改善することで,PHCに対する潜在的な解決策を提供します.
- 現存する研究では 医療における AI ツールの実用的な応用とユーザー体験を しばしば無視しています
研究 の 目的:
- 直接の利害関係者の関与による経験的研究に焦点を当てて,PHCにおけるAIアプリケーションのスコーピングレビューを実施する.
- 臨床ワークフローを検証し,一般医療の価値観と整合する.
主な方法:
- ジョアンナ・ブリッグス研究所とPRISMA-ScRのガイドラインに従って,PubMed,Web of Science,およびScopusのデータベース (2024年4月13日までの) を検索した.
- 経験的,ピアレビューされた研究 (2010年-2024年) を含め,現実世界の環境でPHCの利害関係者 (一般医,看護師,患者) を含め,AIアプリケーションを評価しました.
- アルゴリズムのみによる検証,非経験的研究,およびプライマリケア以外の研究を除外し,合成のためのテーマ分析を使用した.
主要な成果:
- 73件の研究は決定支援 (29%),慢性疾患管理 (22%),運用 (16%),承認/実施 (33%) に分類された.
- AIのツールは特に診断において高い技術的精度を示した.
- 実行には大きな障壁がありました:使いやすさ問題,ワークフローの調整不良,信頼の欠如,公平性の懸念,財政上の制約などです.
結論:
- AIは臨床的推論とリレーショナルケアモデルと統合されたとき,PHCをサポートする大きな可能性を持っています.
- 効果的なAI導入には,使いやすさ,トレーニング,ワークフローの統合などの障壁を克服することが不可欠です.
- 将来の研究は実用的な試験,専門家との共同設計,そして責任あるAI導入戦略に焦点を当てるべきです.
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