医療紛争のリスク予測モデル,緊急治療室における医療紛争のリスク予測モデル

Fengjiao Gu¹, Junlin Huang², Yingqian Zhang^1,3

¹Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Frontiers in public health

|February 16, 2026

まとめ

この研究では,緊急治療室での医療紛争の患者関連リスク要因を特定するための予測モデルを開発し,将来のインシデントを予防し,患者のケアを改善することを目的としています.

科学分野:

緊急医療緊急医療
ヘルスケア・マネジメント・ヘルスケア・マネジメント
患者の安全性についてです.

背景:

現在の緊急事態局の紛争管理は,主に反応的戦略を使用しています.
医学的紛争に対する積極的な早期警告システムが不足しています.
患者に関連した要因は,紛争に寄与する重要な要因であるが,十分に研究されていない.

研究の目的:

緊急治療室における医療紛争の患者関連の危険因子を特定し,分析する.
潜在的な医学的な衝突を早期に特定するための予測モデルを開発する.
医療従事者に,紛争を積極的に防止するためのツールを提供すること.

主な方法:

105件の紛争事件と525件の非紛争事件を緊急状況で遡及的に分析した.
単変数分析,ニューラルネットワーク分析,およびサポートベクトルマシン (SVM) を利用しました.
特定された要因に基づいて,患者に関連するリスク予測モデルを構築しました.

主要な成果:

神経ネットワークモデルは96.4%の精度 (91.2%の感度,97.7%の特異性) を達成しました.
主な予測要因には,待機時間,非遵守,懐疑主義,介護者数,専門家の応答性などがあります.
SVMモデルは,高い精度 (96.4%) を確認し,優れた感度と特異性を示しました.

結論:

開発されたモデルは,緊急治療室での医療紛争を正確に予測します.
積極的な紛争防止戦略のための理論的基礎を提供します.
紛争の発生を軽減し,医師と患者の関係を強化することを目的としています.

キーワード:

医師と患者の関係は,救急救助室の救急救助室の救急救助室に医学的紛争医療についてです.予測モデルの予測モデルです.リスク評価リスク評価

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