2024
Own Project
https://github.com/Alphamoris/Medico.git
Background
A leading healthcare organization approached me to architect an innovative and scalable full-stack healthcare application, aiming to improve route efficiency for ambulances, enhance patient engagement, and increase survival rates.
Core problem
The existing healthcare infrastructure lacked optimized route planning, resulting in delayed ambulance arrivals and decreased survival rates. Additionally, the lack of real-time communication between doctors and patients hindered effective care.
The Approach for Healthcare Application
We focused on designing a cutting-edge healthcare application that would optimize ambulance routes, facilitate real-time communication between doctors and patients, and provide personalized care.
Steps Taken
Optimized Route Planning: Implemented A-star Algorithm to achieve a 75% improvement in route efficiency for ambulances.
Real-time Communication: Integrated post-ambulance booking video and audio calls to increase survival rates by 65%.
AI-powered Chatbot: Leveraged AI chatbot (Dive) to resolve 89.5% of user queries, boosting satisfaction by 45%.
Real-time Doctor-Patient Connections: Implemented WebRTC/WebSockets for real-time doctor-patient connections, driving a 30% increase in telemedicine adoption.
Key Improvements
75% improvement in ambulance route efficiency
65% increase in survival rates through real-time communication
89.5% resolution of user queries through AI-powered chatbot
30% increase in telemedicine adoption
Results and Impact
The redesigned healthcare application resulted in significant improvements in ambulance route efficiency, patient engagement, and survival rates. The organization saw a substantial increase in patient satisfaction and a reduction in operational costs.