臨床研究のためのデータインフラストラクチャの近代化
Joseph B Franklin1, Caroline Marra1, Kaleab Z Abebe2
1Verily Life Sciences, South San Francisco, California.
JAMA
|August 5, 2024
まとめ
臨床試験のデータインフラストラクチャは依然として非効率で 証拠の生成を制限しています 現代のシステムは様々なデータソースを統合し,より良い臨床試験結果のためにデータの再利用を可能にします.
科学分野:
- 臨床研究情報学
- 医療データ科学
背景:
- 臨床試験データへのアクセス,取得,利用システムは最小限の進化を遂げ,断片化と非効率化につながっています.
- 現在の臨床試験のデータインフラストラクチャは 高価で労働密集的で,生成される証拠の量と質を制限しています.
- 電子医療記録とデータ標準化の進歩にもかかわらず,臨床試験データインフラストラクチャに統一されたアプローチは欠けている.
研究 の 目的:
- 現代の臨床試験データインフラストラクチャのビジョンを提案する.
- 臨床試験における現在のデータ収集方法の限界に対処する.
- ランダム化臨床試験による 確固たる証拠の需要を満たすため
主な方法:
- 複数のデータソースとタイプの収集と評価を中心とした近代化されたインフラストラクチャの概念化.
- 医療データを様々な目的に再利用できるシステムを構想する.
- インフラ開発のための多分野協力の必要性を強調する.
主要な成果:
- 現代の臨床試験データインフラストラクチャの枠組みが提示されています.
- 提案されたインフラストラクチャは,多様なデータストリームの統合をサポートします.
- 異なる研究と臨床アプリケーションでデータの再利用を可能にすることに重点を置いています.
結論:
- 臨床試験データインフラストラクチャの近代化は,エビデンス生成の強化に不可欠です.
- 提案されたビジョンは,複数のデータソースの厳格な評価を促進し,データの再利用を促進します.
- この近代化されたインフラの実現には,多分野間の協力と進歩の測定が不可欠です.
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