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長期および慢性患者に対する臨床的経路の発見:プロセスマイニングのアプローチ

Luca Murazzano¹, Paolo Landa², Jean-Baptiste Gartner³

¹Université Laval, Départment des Opérations et Systèmes de décision, 2325 Rue de la Terrasse, Québec, G1V 0A6, QC, Canada; Centre de Recherche du CHU de Québec, Axe Santé des Populations et Pratiques Optimales en Santé, 1050 Chemin Sainte-Foy, Québec, G1S 4L8, QC, Canada; Université Laval, Centre Interuniversitaire de Recherche sur les Reseaux d'Entreprise, la Logistique et le Transport (CIRRELT), 2325 Rue de la Terrasse, Québec, G1V 0A6, QC, Canada; Université Laval, Groupe de Recherche en Écologie Buccale (GREB), 2420 Rue de la Terrasse, Québec, G1V 0A6, QC, Canada; CISSS de Chaudière-Appalaches, Centre de recherche du CISSS de Chaudière-Appalaches, 143 Rue Wolfe, Lévis, G6V 3Z1, QC, Canada.

Computers in biology and medicine

|February 18, 2026

まとめ

プロセスマイニングは,慢性呼吸器疾患の治療経路を最適化します. この研究では,臨床データを分析して,臨界点を特定し,専門病院の効率と患者のアウトカムを改善しました.

科学分野:

医療情報工学医療情報工学
ヘルスケア・マネジメント・ヘルスケア・マネジメント
プロセス鉱業鉱業

背景:

慢性呼吸器疾患は,世界的な健康上の重大な負担となり,医療制度に負担をかけています.
COPD,肺炎,肺がん,肺線維症などの疾患の効率的な管理は,特に公衆衛生上の高齢者にとって極めて重要です.
介護のプロセスを最適化することは,ますます高まるサービス需要を効果的に満たすために不可欠です.

研究の目的:

慢性呼吸器疾患の治療の質とパフォーマンスを向上させる.
患者のケア経路を分析し,最適化するためにプロセスマイニングを活用する.
医療管理者および意思決定者に対して,実行可能な洞察を提供するためです.

主な方法:

2018年から2022年にかけての臨床データを分析するために,プロセスマイニング技術を活用した.
方法論を,心肺疾患専門病院のケーススタディに適用しました.
既存の臨床経路内の重要なポイントと非効率性を特定しました.

主要な成果:

呼吸器ケアにおける臨床経路の改善のための実行可能な洞察を明らかにした.
資源の展開とサービスの構成を最適化するためにプロセスマイニングの能力を実証しました.
患者の改善のために改善が必要なケア経路内の特定の分野を強調しました.

結論:

プロセスマイニングは,複雑な臨床経路を分析し,最適化するための貴重なアプローチを提供します.
効果的なデータ収集は,信頼性の高い分析と医療プロセスの改善に不可欠です.
将来の研究は,医療におけるプロセスマイニングの有効性を高めるために,より大きく,多様なデータセットに焦点を当てるべきです.

キーワード:

臨床的経路について病院の公演などプロセスマイニング (プロセスマイニング)呼吸器疾患呼吸器疾患は,呼吸器系の病気であり,呼吸器系疾患は呼吸器系疾患であり,呼吸器系疾患は呼吸器系疾患である.

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