Suresh Srinivasan
Children's Hospital of Pittsburgh, 4401 Penn Avenue, Room 6415 AOB, Pittsburgh, PA 15224, USA.
Pediatr Clin North Am. 2016 Apr;63(2):357-66. doi: 10.1016/j.pcl.2015.12.007.
Emerging changes in the United States' healthcare delivery model have led to renewed interest in data-driven methods for managing quality of care. Analytics (Data plus Information) plays a key role in predictive risk assessment, clinical decision support, and various patient throughput measures. This article reviews the application of a pediatric risk score, which is integrated into our hospital's electronic medical record, and provides an early warning sign for clinical deterioration. Dashboards that are a part of disease management systems, are a vital tool in peer benchmarking, and can help in reducing unnecessary variations in care.
美国医疗服务模式的新变化引发了人们对基于数据的医疗质量管控方法的新兴趣。分析（数据加信息）在预测风险评估、临床决策支持以及各种患者流转指标方面发挥着关键作用。本文回顾了一种整合到我院电子病历中的儿科风险评分的应用情况，该评分可为临床病情恶化提供早期预警信号。作为疾病管理系统一部分的仪表盘是同行基准比较中的重要工具，有助于减少不必要的医疗差异。
