Author Affiliations: Director of Staff Education and Informatics (Ms Meyer), Mt Ascutney Hospital and Health Center, Windsor, Vermont; and Informatics Nurse Specialist (Ms Fraser), Dartmouth-Hitchcock Medical Center; and Research Scientist (Dr Emeny), The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
J Nurs Adm. 2020 Jun;50(6):322-327. doi: 10.1097/NNA.0000000000000892.
To determine a just and consistent practice for creating nursing assignments.
Traditional methods of assigning patients to nurses may lead to unbalanced nursing workload. This article describes the ongoing, hospital-wide effort to evaluate and implement a nursing assignment tool based on electronic health record (EHR) functionality and auto-calculated nursing workload scores.
EHR records of individual patient workload scores from all hospital units were collected from August 2017 to June 2018. A nurse-specific total workload score was summed for each staff. Then, each hospital unit's mean nurse workload score and standard deviation, along with the unit's nurse-to-patient ratio, were used to calculate levels of high, medium, and low nursing workload measurement (NWM).
Mean patient-specific workload scores varied greatly across hospital units. Unit-specific nurse-to-patient ratios were factored into NWM scores to create ranges for assignments that were relatively consistent across the institution.
The use of objective, electronically generated nursing workload scores, combined with traditional nurse-to-patient ratios, provides accurate real-time nurse staffing needs that can inform best practice in staffing. The confirmation of individual patient workload scores and an appreciation for the complexity of EHR vendor rules are necessary for successful implementation. Automation ensures patient safety, staff satisfaction, and optimal resource allocation.
确定一种公正且一致的护理分配实践方法。
传统的患者分配给护士的方法可能导致护理工作量不平衡。本文描述了一项正在进行的、全院范围内的努力,旨在评估和实施一种基于电子健康记录 (EHR) 功能和自动计算的护理工作量评分的护理分配工具。
从 2017 年 8 月至 2018 年 6 月,收集了来自所有医院科室的个体患者工作量评分的 EHR 记录。为每位员工汇总了特定护士的总工作量评分。然后,使用每个医院科室的平均护士工作量评分和标准差,以及科室的护士与患者比例,计算高、中、低护理工作量测量 (NWM) 水平。
各医院科室的患者特定工作量评分差异很大。将科室特定的护士与患者比例纳入 NWM 评分,以创建在整个机构内相对一致的分配范围。
使用客观的、电子生成的护理工作量评分,并结合传统的护士与患者比例,提供准确的实时护士人员配置需求,可以为人员配置的最佳实践提供信息。确认个体患者工作量评分并了解电子健康记录供应商规则的复杂性是成功实施的必要条件。自动化可确保患者安全、员工满意度和最佳资源分配。