MedUrgencyHub - Time-Saving Solutions in Healthcare

Welcome to MedUrgencyHub! Our platform is dedicated to providing time-saving solutions in the fast-paced world of healthcare. By leveraging technology and streamlined processes, we aim to optimize time for both patients and medical professionals, enhancing patient care, increasing efficiency, and improving resource allocation.

Deployed Site

Check out the deployed site (Note: ML models are yet to be deployed, available in the GitHub repository): MedUrgencyHub Deployment

Introduction

In the realm of healthcare, time optimization is crucial. This document introduces a comprehensive solution to reduce time constraints in medical processes, benefiting both patients and hospitals.

Patient-Centric Solutions

1. Generalized Medical Card (GMC) with Enhanced Privacy

• Time Efficiency: Quickly access patient medical history, eliminating manual data retrieval during consultations.
• Easy Hospital Resource Access: Seamless access to medical records, test results, and prescriptions.
• Legal Compliance: Secure QR-coded GMC ensures data privacy and quick retrieval for legal purposes.

2. Nearest Hospital Locator

• Emergency Assistance: Quickly find the nearest hospitals during emergencies.
• Informed Decision-Making: Choose the most convenient healthcare facility based on location.

Hospital Efficiency Solutions

1. Predictive Time Management

• Advanced Algorithm: Estimate time required for procedures or consultations based on historical data.
• Patient Flow Management: Manage patient flow, reduce waiting times, and enhance satisfaction.

2. Efficient Access to Medical Imaging

• QR Code Integration: Link medical images to QR codes for swift access and review of diagnostic information.
• Time-Saving Visualization: Quick-view tools for medical images enable rapid analysis and diagnosis.

3. AI-Based Hospitals' Personalized Busy Months Prediction

• AI-Powered Forecasting: Predict personalized busy months based on historical patient data.
• Effective Resource Allocation: Allocate resources, staff, and facilities more effectively during peak periods.

4. AI Model for Diseases (Pneumonia Classification)

• Efficient Diagnosis: AI-powered classification model for pneumonia diagnosis through X-ray images.
• Time-Saving Analysis: Analyze entire folders of X-rays, identify pneumonia cases, and improve diagnosis accuracy.

5. Resource Allocation for Critical Cases

• Urgency-Based Allocation: Utilize urgency scores from medical reports for efficient resource allocation.
• Predictive Analysis: Predict when a patient might require medical attention for proactive preparation.

How to Run Files?

For ML Model:

1. Install the libraries from requirements.txt in the ml folder.
2. Run both models named app.py and visualize_months.py.
3. For app.py, use the keras_model.h5 file to access the pre-trained model.

For Other Files:

1. Install the requirements.txt in the different folder.
2. Run main.py!

Thank you for exploring MedUrgencyHub - where time meets healthcare efficiency!