Thapa Isha, Han Brian, Rosenthal David N, Roth Stephen J, Shin Andrew Y, Bambos Nicholas, Scheinker David
Department of Management Science and Engineering, Stanford University, 475 Via Ortega, Stanford, CA, 94305, United States.
Division of Pediatric Cardiology, Stanford University School of Medicine, Stanford, CA, United States.
JMIR Pediatr Parent. 2025 Jun 23;8:e60802. doi: 10.2196/60802.
Urgent pediatric hospital readmissions are common, costly, and often preventable. Existing prediction models, based solely on discharge data, fail to accurately identify pediatric patients at-risk or urgent readmission. Remote patient monitoring (RPM) leverages wearable technology to provide real-time health data, enabling care teams to detect and respond to early signs of clinical deterioration. Emerging evidence suggests RPM may be a promising strategy to improve pediatric postdischarge outcomes and reduce urgent hospital readmissions.
儿科紧急再入院情况常见、成本高昂且往往可预防。现有的预测模型仅基于出院数据,无法准确识别有紧急再入院风险的儿科患者。远程患者监测(RPM)利用可穿戴技术提供实时健康数据,使护理团队能够检测并应对临床恶化的早期迹象。新出现的证据表明,远程患者监测可能是改善儿科出院后结局并减少紧急医院再入院的一种有前景的策略。