MedAID: Symptoms Based First Aid and Emergency Guidance App

Abstract

Mass gatherings such as religious festivals, sporting events, and civic congregations impose extraordinary pressure on emergency healthcare systems. Identifying patients in distress inside a dense crowd, routing help to their exact location, and coordinating multiple responders simultaneously are tasks that current mobile applications handle poorly. Most existing tools operate in isolation: they either send an alert or share a location, but never do both while also managing transport and clinical triage in a unified workflow. MedAID is a cloud-connected mobile application designed specifically for this problem. When a user reports symptoms through the app, MedAID automatically captures their GPS coordinates, classifies the case into a severity tier, and notifies a central medical dashboard in real time. Depending on severity, the system either generates first-aid guidance, produces a prescription, or dispatches the nearest available volunteer through a mechanism we call Health Uber—an on-demand ambulance coordination layer modelled on ride-hailing logistics. Volunteers share live location and status updates; administrators monitor all active cases from a single web dashboard. Simulation-based evaluation showed that 55% of cases required physical transport, 25% were resolved through remote prescription, and 20% needed only guided self-care. These results confirm that integrating symptom triage, geolocation, and transport dispatch inside one application produces faster, better-coordinated medical responses than alert-only tools. MedAID is intended for event organisers, civil authorities, and healthcare teams who need a practical, deployable solution for crowd scale emergency management.