Pediatric Intensive Care Units (PICUs) provide care for children at imminent risk of death. Coordination of physicians and nurses is critical to ensure the provision of quality care. In addition, clinicians' workflow, especially for nurses, is complex and fragmented, and therefore, it should be carefully assessed. In this research, we propose a Social Network Analysis-based approach combined with Quality Improvement (QI) principles to provide a framework to assess workflow and identify current factors that could affect clinical efficiency and nurse satisfaction. The tools provided were valuable to assess and visualize complexity and fragmentation of nursing workflow. According to the analysis conducted nurses spend on average 21% of their time in patient monitoring, 24% in collaboration, 27% in documentation, 10% in transit, 7% in medication, and 11% in miscellaneous activities. Network graphs were developed to provide visualization of workflow inefficiencies and to better understand relationships and connections between tasks. These results were utilized in the development of QI tools to investigate root causes of clinical inefficiencies and nursing dissatisfaction in more detail.