NIPH Clinical Trials Search

A Study on Visualizing and Optimizing Operating Room Nurses Workload Using Artificial Intelligence: A Cross-Sectional Study

Basic Information

Recruitment status	Not Recruiting
Health condition(s) or Problem(s) studied	Nurses' workload, workload and perioperative nursing tasks
Date of first enrollment	08/07/2024
Target sample size	38
Countries of recruitment
Study type	Observational
Intervention(s)

Outcome(s)

Primary Outcome	Quantification of workload (hours, task type, number of tasks) Visualisation of work distribution (by weekday/holiday, day shift/night shift)
Secondary Outcome	AI-based work optimisation simulation results Relationship between workload and working pattern (working days and hours) Relationship between nurse attributes (years of experience, role) and workload

Key inclusion & exclusion criteria

Age minimum	>= 20age old
Age maximum	Not applicable
Gender	Both
Include criteria	Nurses working in the operating theatre at Nagasaki Medical Centre Persons who were engaged in work during the study period Persons who gave written consent to participate in the study
Exclude criteria	Persons in managerial positions who do not perform actual direct nursing duties Persons who are unable to participate in the survey for reasons such as cognitive function