Md Sahaduzzaman
$10/hr
Full Stack Developer. who provide web-based software solutions.
- Reply rate:
- -
- Availability:
- Full-time (40 hrs/wk)
- Location:
- Dhaka, Dhaka, Bangladesh
- Experience:
- 1 year
ODCP
Online Doctor Consultation Platform
(ODCP) - Project Documentation
1. Project Overview
The Online Doctor Consultation Platform (ODCP) is a web-based system designed to
facilitate remote medical consultations between doctors and patients. It offers a seamless and
secure way to book appointments, conduct consultations via chat or video, receive
prescriptions, and manage medical records efficiently. The platform enhances healthcare
accessibility, minimizes unnecessary hospital visits, and ensures patient data security.
2. Objectives
● To provide an efficient, secure, and accessible platform for remote medical consultations.
● To streamline appointment scheduling, consultation management, and prescription
handling.
● To enhance patient-doctor communication through real-time chat and video
conferencing.
● To ensure data privacy and security in compliance with healthcare regulations.
3. Key Features
A. User Management
● Patient Features:
○ Secure registration and authentication.
○ Search and book doctors based on specialization.
○ Upload and manage medical reports.
○ Access and download prescriptions.
● Doctor Features:
○ Manage appointments and availability.
○ Conduct consultations via chat and video calls.
○ Generate and upload prescriptions.
B. Appointment & Consultation System
● Patients can schedule appointments based on doctor availability.
● Doctors can approve, reject, or reschedule appointments.
● Automated reminders and notifications for scheduled consultations.
C. Real-Time Communication & Notifications
● Chat System: Secure instant messaging between doctors and patients.
● Video Consultation: WebRTC-based video call for remote diagnoses.
● Real-Time Notifications: Appointment confirmations, reminders, and prescription
updates via email and in-app alerts.
D. Medical Records Management
● Secure cloud storage for patient prescriptions and medical reports.
● Patients can upload medical history and download prescriptions.
● Doctors can access patient history for better diagnosis.
E. Prescription & Diagnosis Management
● AI-powered prescription suggestions (Improving).
● Doctors can issue, update, and store prescriptions digitally.
● Patients can access prescriptions anytime through their profile.
F. Security & Compliance
● Data encryption and secure authentication via JWT.
● Role-based access control to prevent unauthorized access.
● HTTPS enforcement for secure communication.
4. Technology Stack
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Frontend: Next.js, React.js, Tailwind CSS.
Backend: Node.js, Express.js, MongoDB, Socket.IO.
Database: MongoDB Atlas for scalable data management.
Deployment & DevOps:
○ Azure for cloud hosting and scalability.
○ GitHub Actions CI/CD for automated testing and deployment.
● Third-Party Integrations:
○ Cloudinary for file storage.
○ WebRTC/Twilio for video calls.
○ FDA APIs for drug information (Working on).
5. Challenges & Solutions
Challenges
Solutions
Ensuring data security and privacy
Implemented JWT authentication, HTTPS encryption,
and role-based access control.
Real-time doctor-patient
communication
Integrated Socket.IO for chat and planned WebRTC
for video calls.
Managing medical records and
prescriptions securely
Used MongoDB for structured data storage and
Cloudinary for secure file handling.
Keeping users updated on
appointments
Implemented real-time notifications via email and
in-app alerts.
Ensuring platform scalability
Optimized API responses and used MongoDB Atlas
for cloud scalability.
Efficient Deployment and Updates
Integrated Azure and GitHub Actions CI/CD for
seamless updates and monitoring.
6. Development Workflow
1. User Registration & Authentication: Secure sign-up/login using JWT-based
authentication.
2. Appointment Booking: Patients search and schedule appointments.
3. Consultation Process: Doctors approve/reject appointments, consultations occur via
chat or video.
4. Medical Records Management: Doctors upload prescriptions, patients
access/download reports.
5. Notifications & Updates: Users receive real-time updates on consultations and records.
6. CI/CD Pipeline Setup: Implemented automated testing and deployment using GitHub
Actions with Azure hosting.
7. Future Enhancements
●
●
●
●
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AI-powered prescription suggestions for doctors based on patient symptoms.
Payment integration for secure online consultation fees.
Mobile app development for better accessibility on Android and iOS.
Multi-language support for global accessibility.
Integration with wearable devices for real-time health monitoring.
8. Outcome & Impact
The ODCP enhances healthcare accessibility, reduces wait times, and streamlines the
consultation process. By leveraging real-time communication, secure medical record
management, and future AI-driven features, the platform aims to revolutionize digital healthcare
services. With planned enhancements like AI-powered prescriptions and mobile applications,
ODCP will continue to evolve into a more comprehensive telemedicine solution.
9. Links:
1. Deploy: https://odcp.netlify.app/
2. Frontend: https://github.com/sahadcse/odcp-frontend
3. Backend: https://github.com/sahadcse/odcp-backend
Conclusion
The Online Doctor Consultation Platform is an innovative step toward digital healthcare
transformation. With a focus on security, real-time interactions, and future scalability, the
platform offers a convenient and efficient healthcare solution for both doctors and patients. This
project showcases expertise in full-stack web development, database management, API
integrations, DevOps (Azure & GitHub Actions CI/CD), and real-time communication
technologies and So On.
