An Analysis of the Factor Model on the Workload of Nursing Staff Using a Hospital Management Tool

• Published in: Studies in health technology and informatics Vol. 225; p. 58
• Main Authors: Sato, Kikue, Yamashita, Koji, Goshima, Mituko, Kuroda, Tomohiro, Kinosada, Yasutomi, Seiyama, Akitoshi
• Format: Journal Article
• Language: English
• Published: Netherlands 2016
• Subjects: Efficiency, Organizational - statistics & numerical data; Factor Analysis, Statistical; Humans; Japan; Management Information Systems - statistics & numerical data; Models, Organizational; Nursing Staff, Hospital - statistics & numerical data; Patients' Rooms - statistics & numerical data; Personnel Staffing and Scheduling - organization & administration; Software; Utilization Review; Workflow; Workload - statistics & numerical data
• ISSN: 0926-9630
• DOI: 10.3233/978-1-61499-658-3-58

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.