Sato Kikue, Yamashita Koji, Goshima Mituko, Kuroda Tomohiro, Kinosada Yasutomi, Seiyama Akitoshi
Graduate School of Medicine, KyotoUniversity, Kyoto, Japan.
Suzuka University of Medical Science, Mie, Japan.
Stud Health Technol Inform. 2016;225:58-62.
We developed a tool that allows a medical facility to offer efficient nursing care with limited human resources by optimizing the distribution of hospital ward nursing tasks. The use of information and communications technology to visualize daily workloads and make use of quantified workload data is important for identifying management elements that allow the efficient allocation of personnel and tasks. The goal of this study was to utilize data from the ward management tool that we developed to consider workflow processes for nursing staff and the relationships between the nursing competence of the nursing staff and the patients' conditions and how these impact on workloads. We found a correlation between workload and staff competence. With respect to the teamwork index and patient condition, structural equation modeling analysis using the intensity of nursing care needs and degree of independent daily living showed that patient condition had a meaningful effect on workload.
我们开发了一种工具，该工具可通过优化医院病房护理任务的分配，使医疗机构能够在人力资源有限的情况下提供高效的护理服务。利用信息和通信技术来可视化每日工作量并利用量化的工作量数据，对于识别能够有效分配人员和任务的管理要素非常重要。本研究的目的是利用我们开发的病房管理工具中的数据，来考虑护理人员的工作流程、护理人员的护理能力与患者病情之间的关系，以及这些因素如何影响工作量。我们发现工作量与员工能力之间存在相关性。关于团队合作指数和患者病情，使用护理需求强度和独立生活程度进行的结构方程模型分析表明，患者病情对工作量有显著影响。
