Severe aortic stenosis (AS) is a life-threatening condition with a high mortality rate if left untreated. Studies show that symptomatic severe AS can have a 50% mortality rate within one year, yet timely intervention with aortic valve replacement (AVR) significantly improves survival outcomes. Despite the availability of effective treatment, many cases go unnoticed or unaddressed due to gaps in clinical workflows and provider follow-up. The ValveAccess project aims to bridge this gap by integrating cardiology imaging databases with Epic to create an automated, real-time patient identification and referral pipeline. The system detects severe AS findings in echocardiograms and automatically alerts the patient's care team. If no action is taken within 14 days, an automatic referral is triggered to the Cardiac Valve Center for further evaluation. By leveraging technology to streamline clinical decision-making, ValveAccess represents a scalable life-saving innovation in health sciences.