Paper Title
MediSync: An Integrated Healthcare Platform for Outpatient Scheduling and CNN-based Dynamic Emergency Detection
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Registration ID: IJNRD_322062
Published ID: IJNRD2604302
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Keywords
Convolutional Neural Networks, YOLOv8, Accident Detection, Emergency Response System, MERN Stack, Smart Healthcare
Abstract
Nowadays, hospitals adopt an online booking system for outpatient department OPD appointment, yet most of them are for none urgent services and cannot respond to emergencies. The reporting of accidents on roads and medical emergency have been delayed by manual process and disconnected dispatch procedures. This paper presents a unified MERN based platform that couples OPD appointment scheduling with CNN based Dynamic Emergency Response system, God’s Eye. The emergency module uses a YOLOv8 Deep Learning model for the real-time detection of vehicle accidents from live or uploaded video streams. Emergency alerts are detected, they are automatically generated and then sent to a centralized-dashboard that enables immediate ambulance dispatches using geospatial optimization. The architecture is a decoupling solution for AI inference and healthcare management services, scaling well with low latency. Experimental results in simulated surveillance feeds prove that it is possible to develop a real time accident detection and automatic emergency coordination system. The program illustrates how much computer vision based intelligence can help in reducing emergency response time and remain close to the entire digital healthcare ecosystem.
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How To Cite (APA)
Yash Aditya Mishra, Aman Sharma, Aagam Jain, & Shriya Shreyaskar (April-2026). MediSync: An Integrated Healthcare Platform for Outpatient Scheduling and CNN-based Dynamic Emergency Detection . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(4), d22-d28. https://ijnrd.org/papers/IJNRD2604302.pdf
Issue
Volume 11 Issue 4, April-2026
Pages : d22-d28
Other Publication Details
Paper Reg. ID: IJNRD_322062
Published Paper Id: IJNRD2604302
Research Area: Other area not in list
Author Type: Indian Author
Country: Ghaziabad, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2604302.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2604302
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