緩和ケアを必要とする患者を特定するための自動化されたアルゴリズム:体系的なレビューとメタ解析
Chia-Wen Hou1,2, Ming-Chi Hu3, Made Satya Nugraha Gautama4
1School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
NPJ digital medicine
|February 12, 2026
まとめ
自動化された電子医療記録 (EHR) アルゴリズムにより,緩和医療の診察と"非蘇生"の文書化が著しく増加しています. この技術は,終末期ケアの質とタイミングを向上させることを約束しています.
科学分野:
- 医療情報工学 医療情報工学
- 緩和ケア医療 緩和ケア医療
- 臨床的意思決定支援システム
背景:
- 電子医療記録 (EHR) は,緩和ケアを必要とする患者を特定するためにますます使用されています.
- 適切なタイミングでの緩和ケア介入は,患者のアウトカムと終末期ケアを改善するために不可欠です.
- EHRシステム内の自動化されたアルゴリズムは,積極的な患者識別のための潜在的な解決策を提供します.
研究 の 目的:
- EHRベースのアルゴリズムの有効性を体系的に評価し,高い緩和ケアニーズを持つ患者を特定する.
- これらのアルゴリズムの緩和ケア介入の開始と事前のケア計画への影響を評価する.
- 自動化されたEHRアルゴリズムの実装に関連するアウトカムに関するランダム化試験からの証拠を合成する.
主な方法:
- 2025年12月までのランダム化試験について,PubMed,Embase,Cochrane Libraryで体系的な文献検索が行われました.
- ランダム効果モデルを使用して,リスク比率 (RRs) と95%信頼区間 (CI) の加重平均差をまとめました.
- バイアスのリスクはCochrane RoB 2.0を使用して評価され,証拠の確実性はGRADE.と評価されました.
主要な成果:
- 125,666人の患者を含む7つの試験がメタ解析に含まれました.
- 自動化されたEHRアルゴリズムは,非がん患者 (RR, 2.19) とがん患者 (RR, 5.31) の両方の緩和ケア相談を大幅に増加させた.
- 蘇生禁止命令の文書化も著しく増加した (RR, 1.22),ホスピス利用と死亡率への影響はわずかな.
結論:
- 自動化されたEHRアルゴリズムの実装は,緩和医療の相談の増加と,事前ケア計画文書化に関連しています.
- これらの発見は,EHRベースのアルゴリズムは,終末期ケアのタイミングと質を向上させることができることを示唆しています.
- 患者および家族によって報告されたアウトカムに対するより広範な影響について,さらなる研究が検討される可能性があります.
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