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护理信息学和电子病历中的数据采集:研究特征、因素和占用率对急诊科重症监护入院结局的影响。

Nursing informatics and data collection from the electronic medical record: Study of characteristics, factors and occupancy impacting outcomes of critical care admissions from the Emergency Department.

机构信息

University of Maryland School of Nursing, Rockville, MD, USA.

出版信息

Health Informatics J. 2012 Dec;18(4):309-19. doi: 10.1177/1460458212454023.

Abstract

When collecting data from a single electronic medical record (EMR), few studies of Intensive Care Unit (ICU) patients admitted directly from an Emergency Department (ED) focus on observational methodologies examining occupancy of both the ICU and the ED, and population characteristics. This quantitative study design and analysis, with a sample size of 1433 cases using regression techniques, suggested odds of mortality were more likely with a higher ICU occupancy/census and if uninsured. There was no statistical difference based on ED occupancy/census at time of decision to admit to an ICU and no difference whether admitted on a weekend or weekday. Inpatient ICU occupancy is one of the variables that impacts waiting time and overcrowding in the ED, and, in this study, inpatient occupancy in the ICUs impacted patient outcomes. As all healthcare providers make up the interprofessional team and work within complex systems, ease of retrieval of EMR data can hasten decision support to improve quality outcomes.

摘要

当从单个电子病历 (EMR) 中收集数据时,很少有研究关注直接从急诊科 (ED) 收治的重症监护病房 (ICU) 患者的观察方法,这些研究方法检查 ICU 和 ED 的入住情况和人群特征。这项定量研究设计和分析使用回归技术,样本量为 1433 例,结果表明,ICU 入住率/普查率较高且没有保险的情况下,死亡率的可能性更大。在决定将患者收入 ICU 时,ED 入住率/普查率没有统计学差异,周末或工作日入院也没有差异。在 ICU 住院患者入住率是影响 ED 等待时间和过度拥挤的变量之一,在这项研究中,ICU 住院患者入住率影响患者的预后。由于所有医疗保健提供者组成了跨专业团队,并在复杂的系统中工作,因此方便检索 EMR 数据可以加快决策支持,从而改善治疗效果。

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