LiftEd is an iPad application that enables special education professionals to measure students’ academic & behavioral performance on individualized learning goals, analyze learning trends to modify instruction and intervention methods real-time, and ultimately share student progress with districts & parents on-demand. It resembles an EHR and acts as a centralized repository for a student’s case team to track progress, collaborate, and maintain a transferrable record longitudinally. LiftEd aims to strategically focus on schools to provide aggregate data for administrators that can aid in compliance with federal funding mandates. In addition to significantly saving educators time and providing the ability to work remotely, LiftEd also increases the transparency of student data for parents in order to mitigate risk of lawsuits. It also enables a real-time analysis of progress and modification to classroom activities in order to accelerate student learning. All of these features are accessible from a tablet. The flexible data collection methods and intuitive applied behavior analysis caters to all educators, not just advanced professionals in clinical settings.
The goal of this project is to develop a safe, inexpensive, and reliable self-diagnostic tool for the early detection of preeclampsia that can be accessible