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How to implement AI-based rostering to ease the administrative burden on nurse managers
1ShiftMed, McLean, Virginia, US.
Rationale And Key Points:
Nurse managers spend a significant amount of their working day on administrative duties, notably rostering, which can leave them with little time to engage with their teams. The use of artificial intelligence-based (AI-based) rostering platforms, combined with flexible staffing schedules, can reduce the administrative burden on nurse managers and provide more flexibility for staff. • Operational responsibilities, including rostering and resource coordination, tend to dominate nurse managers' daily workload. • Accommodating nurses' needs for a good work-life balance requires rostering flexibility, transparency and choice, which traditional methods such as manual rostering sometimes fail to provide. • AI-based rostering platforms can help generate optimised staffing schedules that balance organisational needs with nurses' expectations regarding their working patterns. • AI-based rostering combined with flexible staffing schedules can significantly and sustainably reduce the administrative burden on nurse managers. REFLECTIVE ACTIVITY: 'How to' articles can help to update your practice and ensure it remains evidence based. Apply this article to your practice. Reflect on and write a short account of: • How this article might enhance your understanding of how AI-based rostering can help reduce nurse managers' administrative workload and meet nurses' expectations regarding their working patterns. • How you could use this information to educate your colleagues on the implementation of AI-based rostering and flexible staffing schedules.
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