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Provider Networks in the Neonatal Intensive Care Unit Associate with Length of Stay

机译:新生儿重症监护室中的提供商网络与逗留时间长度

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We strive to understand care coordination structures of multidisciplinary teams and to evaluate their effect on post-surgical length of stay (PSLOS) in the Neonatal Intensive Care Unit (NICU). Electronic health record (EHR) data were extracted for 18 neonates, who underwent gastrostomy tube placement surgery at the Vanderbilt University Medical Center NICU. Based on providers' interactions with the EHR (e.g. viewing, documenting, ordering), provider-provider relations were learned and used to build patient-specific provider networks representing the care coordination structure. We quantified the networks using standard network analysis metrics (e.g., in-degree, out-degree, betweenness centrality, and closeness centrality). Coordination structure effectiveness was measured as the association between the network metrics and PSLOS, as modeled by a proportional-odds, logistical regression model. The 18 provider networks exhibited various team compositions and various levels of structural complexity. Providers, whose patients had lower PSLOS, tended to disperse patient-related information to more colleagues within their network than those, who treated higher PSLOS patients (P = 0.0294). In the NICU, improved dissemination of information may be linked to reduced PSLOS. EHR data provides an efficient, accessible, and resource-friendly way to study care coordination using network analysis tools. This novel methodology offers an objective way to identify key performance and safety indicators of care coordination and to study dissemination of patient-related information within care provider networks and its effect on care. Findings should guide improvements in the EHR system design to facilitate effective clinical communications among providers.
机译:我们努力了解多学科团队的关心协调结构,并评估新生儿重症监护室(NICU)中的手术后留下(PSLOS)的影响。电子健康记录(EHR)的数据中提取18个新生儿,谁接受胃造口置管术在范德比尔特大学医学中心新生儿重症监护病房。基于提供商与EHR的交互(例如,查看,记录,订购),提供提供商 - 提供商关系,并用于构建代表护理协调结构的患者特定的提供商网络。我们使用标准网络分析指标(例如,度高,度高,中心地位和密闭中心)量化网络。通过比例赔率,后勤回归模型为模型测量协调结构效果作为网络度量和PSLO之间的关联。 18个提供商网络表现出各种团队组成和各种结构复杂性。提供者,其患者具有较低的PSLO,倾向于将患者相关信息分散到其网络内的更多同事,而那些治疗更高的PSLOS患者(P = 0.0294)。在NICU中,改进的信息传播可以与减少的PSLO相关联。 EHR数据提供了使用网络分析工具研究护理协调的有效,可访问和资源友好的方式。这种新型方法提供了一种客观的方式来确定护理协调的关键绩效和安全指标,并研究在护理提供者网络中的患者相关信息及其对护理的影响。调查结果应指导EHR系统设计的改进,以促进提供者之间有效的临床通信。

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