ارتباط قاطعيت و اضطراب در دانشجويان پرستاري و مامايي

Designing Nursing Work Scheduler Intelligent System Based on Genetic Algorithm

Background & Aim: Adjustment of nursing scheduling for specific periods of time to meet the needs of hospitals, nurses and patients is a timeconsuming and challenging task for nursing managers. The aim of this study was to design a nursing scheduler system based on genetic algorithm to render better services to patients and overcome traditional scheduling problems. Methods & Materials: In this applied research, we designed software based on the data derived from interviews with the personnel of two pediatric wards. We transformed the expert entity planning procedure to mathematic function using Genetic Algorithm Programming and create the schedule. We compared the system-designed schedule with the schedule that was written by experts in MATLAB software. Results: The results showed that the system-designed schedule resulted in 57% reduction in the arrangement costs and 93% time saving for nursing managers in comparison with the expert-designed schedule during 6 months. Conclusion: System-designed schedule had higher efficiency than the expert-designed one. It entailed higher efficiency of managers and higher job satisfaction of nurses. It also reduced problems of working with paper schedules. Nursesʹ preferences and hospital requirements could be taking into account, as well. Since we used the limited data gathered from two selected wards for writing the program, the program should be modified based on the data provided from other wards. Further studies are needed to design similar systems with more details in order that it can be available in various wards of hospitals.