Pei-Yu Huang

Hungkuang University Department of Nursing, Taichung, Taiwan

Abstract Title: From Hospital-Centered to Prehospital-Integrated Stroke Care: An Intelligent Model for Accelerating Acute Ischemic Stroke Treatment

Biography:

Pei-Yu Huang is a doctoral student in the PhD program at Hungkuang University, Taiwan. She currently serves as a Nursing Supervisor in the Department of Nursing at Chang Bing Show-Chwan Memorial Hospital. With extensive experience in emergency nursing, she specializes in patient safety and quality improvement. Her current work focuses on quality management, including quality control circle initiatives and the optimization of clinical care processes. Her research interests include emergency care, patient safety, and healthcare quality improvement

Research Interest:

Rapid reperfusion is critical in acute ischemic stroke; however, treatment delays often arise from fragmented coordination between prehospital and in-hospital processes. To address this gap, we developed an innovative Sound the Alert, Assess by Video, Virtual Registration, Enter Computed Tomography Immediately, and Race Against Time (SAVER) intelligent prehospital care model using a breakthrough-oriented quality control circle framework and the Plan–Do–Check–Act cycle. This model integrates emergency medical services, the emergency department, the radiology department, and the neurology department through key strategies, including prehospital notification, real-time tele-evaluation via ambulance-based video consultation, virtual pre-registration, priority access to computed tomography, and immediate initiation of intravenous thrombolytic therapy upon arrival. By advancing clinical decision-making to the prehospital stage and enabling parallel processing, the model transforms conventional sequential workflows into a streamlined stroke fast-track system. Following implementation, the mean door-to-needle time for patients with acute ischemic stroke was significantly reduced from 60 minutes to 32 minutes, achieving a 45% improvement and substantially exceeding the target reduction of 30%. In addition, team collaboration and satisfaction improved, while the length of stay in the intensive care unit decreased. The model demonstrated high feasibility, operational consistency, and effective multidisciplinary integration. The SAVER model represents a paradigm shift toward prehospital-integrated stroke care and highlights the transformative impact of combining smart healthcare technologies with process reengineering. With strong scalability and replicability, this model provides a high-impact benchmark for advancing acute stroke systems of care.