Author Affiliations: Department of Medical Informatics & Clinical Epidemiology (Dr Womack), Clinical Informatics Management Division (Ms Warren), Nursing Administration (Ms Hayes and Dr Eldredge), and School of Nursing (Ms Stoyles), Oregon Health & Science University, Portland.
Comput Inform Nurs. 2021 Jun;39(6):306-311. doi: 10.1097/CIN.0000000000000687.
Electronic health record-generated work intensity scores represent state-of-the art functionality for dynamic nursing workload estimation in the hospital setting. In contrast to traditional stand-alone patient classification and acuity tools, electronic health record-based tools eliminate the need for dedicated data entry, and scores are automatically updated as new information is entered into patient records. This paper summarizes the method and results of evaluation of electronic health record-generated work intensity scores on six hospital patient care units in a single academic medical center. The correlation between beginning-of-shift work intensity scores and self-reported registered nurse rating of appropriateness of patient assignment was assessed using Spearman rank correlation. A weak negative correlation (-0.09 to -0.23) was observed on all study units, indicating that nurse appropriateness ratings decrease as work intensity scores increase. Electronic health record-generated work intensity scores provide useful information that can augment existing data sources used by charge nurses to create equitable nurse-patient assignments. Additional research is needed to explain observed variation in nurses' appropriateness ratings across similar work intensity point ranges.
电子健康记录生成的工作强度评分代表了医院环境中动态护理工作量估计的最新功能。与传统的独立患者分类和严重程度工具相比，基于电子健康记录的工具消除了对专用数据输入的需求，并且随着新信息输入到患者记录中，评分会自动更新。本文总结了在单一学术医疗中心的六个医院患者护理单元中评估电子健康记录生成的工作强度评分的方法和结果。使用 Spearman 等级相关评估了工作强度评分与注册护士对患者分配适当性的自我评估之间的相关性。在所有研究单元中均观察到弱负相关（-0.09 至-0.23），表明随着工作强度评分的增加，护士的适当性评分降低。电子健康记录生成的工作强度评分提供了有用的信息，可以补充负责护士用来创建公平的护士-患者分配的现有数据源。需要进一步研究来解释在类似工作强度点范围内护士适当性评分的观察到的变化。
