SanuPass IntelligentDigitalMedicalPassport with Real-Time Geo-Medical Tracking Cross-Platform Mobile Ecosystem for the Secure Portability of Health Data

Abstract

T he SanuPass project was designed to address a concrete and urgent need in the healthcare ecosystem: secure medical data portability combined with real-time geo-spatial intelligence. By centralizing the patient’s vital information in a digital passport accessible via a temporary QR Code, SanuPass bridges the critical gap between fragmented health data and the need for immediate accessibility in emergency situations. Summary of Contributions Throughout this thesis, we presented the entire development cycle of the platform: · Analysis of existing systems (Chapter I) identified a lack of localized digital medical passport solutions optimized for the Algerian clinical context, establishing the project’s foundational necessity. · System design (Chapter II) mapped operational requirements for patient and clinician cohorts, structured interaction behaviors via UML, and defined the token-based security handshake protocol. · Development and execution (Chapter III) detailed the hybrid software stack (Flutter, Firebase, and geospatial APIs) and configured the multi-layered safety mechanisms. · System implementation (Chapter IV) introduced the user interfaces featuring glass￾morphic designs, the interactive GIS mapping features, the automated AI safety alerts, and the QR scanner utility. · The Business Model Canvas (Chapter V) analyzed the socioeconomic viability of the platform, highlighting a total addressable market exceeding 13 million potential users in Algeria. The primary engineering contributions of this work encompass: · A secure data exchange protocol using time-bounded CSPRNG tokens that establish a real-time verification handshake between doctors and patients, · An atomic kill-switch utility enabling immediate and complete revocation of active profile access rights, · A geospatial parsing engine using the Haversine formula and Overpass API query strings to map and locate regional medical installations, 81 General Conclusion SanuPass Ecosystem · An automated safety module analyzing potential drug-drug conflicts and patient aller genic profiles. Future Perspectives Future development objectives target: · Conforming to the HL7 FHIR schema to allow interoperability with enterprise hospital networks, · Incorporating on-device machine learning models to deliver personalized health ana lytics, · Distributing the final builds to public marketplaces (Google Play and the App Store), · Scaling deployment workflows to neighboring Maghreb and North African markets. Ultimately, SanuPass introduces a transformative framework for digital health systems in Algeria. By establishing patient-centered custody over clinical histories while providing prac titioners with secure access, the platform offers a viable path toward updating public health infrastructure and raising the standard of care.