Medisawa

Telemedicine Platform

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Year

2024

Client

Medisawa Ltd

Services

Web Design, Web development

Project

Telemedicine Platform

MediSawa – Telemedicine Platform

MediSawa is a scalable and modular telemedicine platform designed to bridge the gap between healthcare providers and patients through technology. The platform aims to deliver efficient, reliable, and secure digital healthcare services, including consultations, appointment management, pharmacy services, and health education.

Core Features:

  • Authentication and Authorization: Secure login, registration, and role-based access control.
  • Doctor Management Service: Doctor profiles, schedules, ratings, and awards.
  • Appointment and Booking System: Real-time scheduling, calendar integration, and reminders.
  • Pharmacy Service: Prescription management, inventory, and pharmacy dashboards.
  • Communication Module: Secure chat, video consultations, and notifications.
  • Generative AI Integration: AI-powered health advice and recommendations.
  • Admin Dashboard: Analytics, monitoring, and user management tools.
  • Educational Resources: Health blogs, articles, and a searchable knowledge base.

Technology Stack:

Backend: Django, Django REST Framework, Node.js with Express.js, FastAPI, PostgreSQL, MongoDB, Redis.
Frontend: React.js, Next.js, Bulma CSS, HTML5, CSS3.
Mobile Application: React Native (Planned Phase).
APIs: JWT Authentication, WebRTC Video API, Twilio, SendGrid, OpenAI GPT Models.
Infrastructure: Docker, Kubernetes, Terraform, Jenkins, AWS, GCP.

Architecture Design:

  • Microservices Architecture: Authentication, Doctor, Appointment, and Pharmacy Services.
  • Containerization: Docker and Kubernetes for scalability.
  • CI/CD: Jenkins and GitHub Actions for automation.
  • Security: End-to-end encryption and HIPAA compliance.

Goals of MediSawa:

  1. Accessibility: Healthcare access for remote areas.
  2. Efficiency: Reduced waiting times and seamless consultations.
  3. Scalability: Handle increasing user loads seamlessly.
  4. Data-Driven Decisions: Analytics for improved patient care.
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