A major healthcare provider delivering complex care across multiple hospital units, with a commitment to excellent patient outcomes and frontline staff well-being.
A large hospital faced nursing staff shortages, high workloads, and rising patient care demands within strict budget limits. Nurses reported burnout and staffing policies, based on broad nurse-to-patient ratios, did not account for differences in patient needs and the actual complexity of daily nursing tasks. As a result, staff assignments didn’t reflect real workload, causing inefficiencies, low morale, and potential risks to patient care quality. Leadership identified the need for a precise, data-backed approach to staff allocation.
Through nurse shadowing, time tracking, and data analysis, key challenges were found to contribute to the current state:
A new, data-driven staffing model was built following analysis of workloads and patient needs.
