Department of Population Health, New York University School of Medicine, New York, New York; Department of Medicine, New York University Langone Medical Center, New York, New York.
J Hosp Med. 2013 Sep;8(9):513-8. doi: 10.1002/jhm.2068. Epub 2013 Jul 31.
Hospital care on weekends has been associated with reduced quality and poor clinical outcomes, suggesting that decreases in overall intensity of care may have important clinical effects. We describe a new measure of hospital intensity of care based on utilization of the electronic health record (EHR).
We measured global intensity of care at our academic medical center by monitoring the use of the EHR in 2011. Our primary measure, termed EHR interactions, was the number of accessions of a patient's electronic record by a clinician, adjusted for hospital census, per unit of time. Our secondary measure was percent of total available central processing unit (CPU) power used to access EHR servers at a given time.
EHR interactions were lower on weekend days as compared to weekdays at every hour (P < 0.0001), and the daytime peak in intensity noted each weekday was blunted on weekends. The relative rate and 95% confidence interval (CI) of census-adjusted record accessions per patient on weekdays compared with weekends were: 1.76 (95% CI: 1.74-1.77), 1.52 (95% CI: 1.50-1.55), and 1.14 (95% CI: 1.12-1.17) for day, morning/evening, and night hours, respectively. Percent CPU usage correlated closely with EHR interactions (r = 0.90).
EHR usage is a valid and easily reproducible measure of intensity of care in the hospital. Using this measure we identified large, hour-specific differences between weekend and weekday intensity. EHR interactions may serve as a useful measure for tracking and improving temporal variations in care that are common, and potentially deleterious, in hospital systems.
医院周末的医疗服务质量和临床结果较差,这表明医疗服务整体强度的降低可能会产生重要的临床影响。我们描述了一种新的基于电子病历(EHR)使用情况的医院医疗服务强度衡量指标。
我们通过监测 2011 年电子病历在我院的使用情况来衡量我院的整体医疗服务强度。我们的主要衡量指标,即 EHR 交互,是指在给定时间内,临床医生对患者电子病历的访问量,经过医院患者人数调整后的每单位时间的访问量。我们的次要衡量指标是在给定时间内,用于访问 EHR 服务器的中央处理单元(CPU)总可用功率的百分比。
与工作日相比,周末每天的 EHR 交互都较低(P < 0.0001),并且工作日白天的强度高峰在周末时减弱。与周末相比,工作日每小时每患者的经过患者人数调整后的记录访问量的相对比率和 95%置信区间(CI)分别为:1.76(95%CI:1.74-1.77)、1.52(95%CI:1.50-1.55)和 1.14(95%CI:1.12-1.17),分别对应日间、早晚间和夜间时段。CPU 使用率与 EHR 交互密切相关(r = 0.90)。
EHR 使用情况是医院医疗服务强度的一种有效且易于重现的衡量指标。使用该指标,我们确定了周末和工作日之间存在特定于每小时的巨大差异。EHR 交互可能是一种有用的衡量指标,可以用于跟踪和改善医院系统中常见且潜在有害的护理时间变化。