OptiCare
Inefficient bed management, overcrowded OPDs, and staff tracking issues cause delays. Outdated, manual systems further hinder hospital operations.
Videos
Description
OptiCare – Smart Hospital Management System
Hack KRMU 4.0 | Team: Syntax Squad , Team ID - 20
Team Members: Ayush Rai, Deepanshi Gupta, Himanshu, Mayank Kumar
Problem Statement:
Hospitals face inefficiencies due to:
Bed Management Delays: Lack of real-time occupancy updates.
Overcrowded OPDs & ERs: Ineffective queue management leads to long wait times.
Staff Tracking Issues: Difficulty in locating doctors and nurses in real time.
Outdated Systems: Reliance on manual, paper-based processes.
Proposed Solution: OptiCare
IoT-Enabled Bed Monitoring: Sensors update bed availability in real-time.
AI-Based Queue Management: Smart vision systems optimize OPD flow.
Staff Presence Tracking: Bluetooth Beacons monitor on-duty doctors/nurses.
Predictive Resource Allocation: ML models forecast patient influx and adjust resources dynamically.
Methodology:
Data Collection & Integration: IoT sensors (NFC, Bluetooth Beacons), ESP32-CAM for crowd monitoring.
AI & ML Implementation: Predict bed availability, patient influx, and optimize queue congestion.
System Development & Automation: A centralized dashboard for real-time hospital monitoring.
Testing & Optimization: AI models are refined using real-world hospital data.
Deployment & Scaling: Seamless integration into existing hospital infrastructure.
Prototype & Implementation Strategy:
NFC Tags for real-time bed tracking.
Bluetooth Beacons for staff monitoring.
AI-Powered ESP32 Camera for crowd detection.
Dashboard Development for real-time data visualization.
Testing & Optimization before full-scale hospital deployment.
Conclusion:
OptiCare is a smart hospital management system that leverages IoT and AI for efficient patient flow, real-time resource tracking, and predictive healthcare management to reduce wait times, improve staff allocation, and optimize hospital operations.
Progress During Hackathon
60
Tech Stack
Fundraising Status
1. Pre-Seed (₹25L - ₹1 Cr) → MVP development, pilot testing in 5-10 hospitals. Covers IoT devices, software, and cloud setup. 2. Seed Round (₹1 Cr - ₹5 Cr) → Expansion to 50+ hospitals, large-scale device deployment & hospital onboarding. 3. Series A (₹10 Cr+) → Nationwide scaling, 100+ hospitals, deeper hospital integrations, and advanced features. Why Invest? 1. High demand: Solving OPD & bed management issues. 2. Scalable SaaS model: Recurring revenue from hospitals. 3. Early traction: Starting with small hospitals, then scaling.