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自動音声認識を看護のドキュメントに統合するためのパイロット研究
Keum-Sook Jeun1, Ye-Il Kim1, Myeung-Ja Lee1
1Department of Nursing, Eunpyeong St. Mary's Hospital.
Computers, informatics, nursing : CIN
|February 16, 2026
まとめ
この研究は,看護のドキュメントで使用される電子医療記録 (EHR) の自動音声認識 (ASR) システムを開発し,改善しました. 繰り返し,看護師を中心とした開発はASRシステムを強化しました.
科学分野:
- 医療情報工学 医療情報工学
- 医療技術 医療技術について
- 介護情報工学 介護情報工学
背景:
- 電子医療記録 (EHR) はヘルスケアにとって不可欠ですが,看護のドキュメント作成には時間がかかります.
- 自動音声認識 (ASR) などの先進技術を統合することで,臨床ワークフローを合理化することができます.
- EHRシステムを最適化するには,ユーザーのニーズを理解し,繰り返し開発する必要があります.
研究 の 目的:
- 自動音声認識 (ASR) テクノロジーを開発し,看護のドキュメントに特化した電子医療記録 (EHR) に統合する.
- パイロット展開とフィードバックを通じて,ASRシステムの有効性とユーザー満足度を評価します.
- 臨床看護師のフィードバックと特定された問題に基づいて,ASRシステムを繰り返し改善します.
主な方法:
- この研究は,建設的なeHealth評価方法 (CeHEM) フレームワークを6段階に渡って採用しました.
- 多学科のタスクフォースがASRシステムの設計,開発,実装に協力しました.
- 試験的な展開,臨床看護師のインタビュー,オンライン調査が評価とフィードバックの収集に使用されました.
主要な成果:
- 看護ASRシステムのバージョン1は,看護ノートとKardex.でパイロットされました.
- 臨床看護師からのフィードバックは,システムの機能性と使いやすさを改善する分野を特定しました.
- バージョン2は,機能強化,直感的なコマンド,モバイルアプリケーションで再設計されました.
結論:
- 看護師を中心に,繰り返し開発を行うことは,医療における技術統合を成功させるために不可欠です.
- 分野間の連携により,ユーザーからのフィードバックを,実用的なシステム改善に効果的に変換できます.
- この研究は,EHRシステムにASR技術を実装している医療機関に貴重な洞察を提供します.
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