Improving the Quality of Nursing Care Using Intelligent Monitoring Systems

Abstract

In Saudi Arabian hospitals, preventable adverse events and nursing workflow inefficiencies persist, partly due to the limitations of intermittent, manual patient monitoring. This study evaluated the impact of an Intelligent Monitoring System (IMS) on nursing care quality and efficiency. A sequential explanatory mixed-methods design was implemented at a major tertiary hospital in Riyadh. Quantitative data from four wards over six-month pre- and post-intervention periods were analyzed using Generalized Linear and Linear Mixed Models. This was followed by qualitative interviews with nursing staff. The IMS implementation was associated with significant reductions in patient falls (IRR=0.77, p<.001), pressure injuries (IRR=0.75, p<.001), and medication errors (IRR=0.70, p<.001). Nursing workflow was significantly reconfigured, with direct care time increasing by 4.37% (p<.001) and documentation time decreasing by 4.08% (p<.001). Interview analysis revealed themes of enhanced proactive awareness and reduced routine-check burden. These integrated findings demonstrate that the IMS effectively improved key safety outcomes and optimized nursing time, providing a validated model for technology-driven care enhancement in the region.