The Technological and Workload Drivers of Nursing Care Efficiency: A Systematic Literature Review

Abstract

Nursing services face mounting pressures from rising patient acuity, administrative burden, and fragmented workflows, which collectively compromise the efficiency and reliability of frontline care delivery. While significant investments have been made in electronic records, artificial intelligence, mobile health, telehealth, and virtual nursing, these tools do not consistently yield efficiency gains when implemented without deliberate workflow redesign and structured workload governance. This systematic literature review examines how technological integration and workload management contribute to nursing care efficiency through the mediating role of workflow optimization. Following internationally recognized standards for systematic reviews, fifty-one studies were synthesized across diverse care environments, including intensive care units, emergency departments, general hospital wards, and community health settings. The evidence highlights that efficiency gains are not inherent to technology or staffing models alone but emerge when interoperable systems, acuity-based staffing, predictive scheduling, and digital dashboards are embedded into workflows that reduce duplication, standardize processes, and balance workloads. These findings carry particular significance for healthcare systems such as the Madinah Health Cluster, where digital transformation is a cornerstone of national reform. The review concludes that co-designed, interoperable, and acuity-aware systems that foreground workflow optimization can strengthen workforce resilience, improve patient safety, and advance the goals of healthcare transformation.