How to implement AI-based rostering to ease the administrative burden on nurse managers

Area of Science:

• Nursing Management
• Health Informatics
• Artificial Intelligence in Healthcare

Background:

• Nurse managers dedicate substantial time to administrative tasks, particularly rostering.
• Traditional rostering methods often struggle to balance organizational needs with nurses' work-life balance demands.

Purpose of the Study:

• To evaluate the impact of AI-based rostering platforms on nurse managers' administrative workload.
• To assess the effectiveness of AI-based rostering in conjunction with flexible staffing schedules for meeting nurses' expectations.

Main Methods:

• Implementation of AI-based rostering platforms.
• Integration of flexible staffing schedules.
• Analysis of administrative workload reduction and staff satisfaction.

Main Results:

• AI-based rostering significantly reduces the administrative burden on nurse managers.
• Optimized schedules balance organizational requirements with nurses' preferences for working patterns.
• Sustainable reduction in administrative tasks for nurse managers.

Conclusions:

• AI-based rostering, coupled with flexible staffing, offers a sustainable solution to reduce nurse manager workload.
• This approach enhances operational efficiency and improves nurses' work-life balance.
• AI tools can help meet evolving staff expectations in healthcare settings.