MEDIPULSE: MEDICAL HELP IDENTIFICATION

The healthcare industry is an exceptionally information-intensive sector where managing massive streams of disparate operational data securely and in real time is critical to institutional efficacy and patient welfare. This paper presents MEDIPULSE, a robust web-based Hospital Management System (HMS) developed using the modern MERN stack (MongoDB, Express.js, React.js, Node.js). It consolidates highly fragmented healthcare loops into an integrated platform employing real-time bidirectional messaging via Socket.IO. This ensures instant updates across five primary roles: Patients, Doctors, Hospital Administrators, Ambulance Drivers, and Blood Bank Personnel without manual refreshes. Key integrations include automated appointment booking and WhatsApp/SMS reminder schedules managed through the Twilio API, geospatial nearest-ambulance dispatch and nearest donor mapping leveraging MongoDB 2dsphere indexing, and seamless online transaction resolution backed by the Razorpay gateway. Empirical performance testing yields an exceptional 98.6% module functional test pass rate over 142 distinct test scenarios, sub-50 ms Socket.IO latency over local networks, and streamlined high-concurrency event routing. Comparative architectural evaluations against traditional polling-based relational server models validate that MEDIPULSE offers significantly improved performance parameters, stateless JWT-secured scalability, and comprehensive operational clarity required for contemporary automated healthcare environments.