Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Cloud-Based Telemedicine Platform for Ophthalmology Collaboration
  1. case
  2. Cloud-Based Telemedicine Platform for Ophthalmology Collaboration

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Cloud-Based Telemedicine Platform for Ophthalmology Collaboration

altoroslabs.com
Medical
Health & Fitness

Challenges in Ophthalmology Accessibility and Diagnostic Efficiency

Norway faces a critical shortage of ophthalmologists (81 per million population vs. 182.6 in Greece), leading to appointment wait times of weeks to years. This delays essential eye care for at-risk populations (diabetic patients, elderly) and creates geographic access barriers. Existing optical store equipment remains underutilized for diagnostics due to lack of remote collaboration infrastructure.

About the Client

Startup founded in 2016 focused on improving accessibility of ophthalmology services through digital solutions

Objectives for Remote Ophthalmology Collaboration Platform

  • Develop cloud-native system for secure optician-ophthalmologist collaboration
  • Enable remote eye diagnostics through optical store equipment integration
  • Reduce diagnostic wait times from weeks to 15 minutes
  • Achieve 40%+ optician network adoption across Norway
  • Demonstrate potential for $93.6M annual healthcare cost savings

Core System Functionalities

  • Microservices architecture with Azure Service Fabric
  • Medical image preprocessing and denoising module
  • Interactive image analysis tools (color adjustment, zoom, contrast)
  • Role-based access control with Azure Active Directory
  • Secure patient data encryption and audit trails
  • Diagnostic finding annotation and communication system

Technology Stack Requirements

Microsoft Azure cloud infrastructure
Azure Service Fabric for microservices
Azure Active Directory for security
Azure Blob Storage for medical imaging

System Integration Requirements

  • Optical store diagnostic equipment APIs
  • National healthcare provider directories
  • Norwegian health data exchange standards (Helsenett)

Critical Non-Functional Requirements

  • HIPAA/GDPR-compliant data security
  • 99.99% system availability SLA
  • Lossless medical image transmission
  • Real-time collaboration performance metrics
  • Auto-scaling for nationwide adoption

Expected Impact on Healthcare Efficiency and Cost Reduction

Platform implementation is projected to reduce diagnostic wait times by 95%, enable 40%+ optician network coverage, and generate $93.6M annual savings through reduced clinic visits and optimized specialist utilization. The solution addresses critical healthcare access gaps while maintaining diagnostic accuracy through advanced image processing technologies.

More from this Company

Blockchain-Based Supply Chain Tracking Platform for Automotive Spare Parts
Mobile Assistive Devices Catalog and Order Management System
Development of AI-Powered Dental Consultation Platform with Automated Scheduling and Secure Payments
Customization of AI-Powered Customer Support Chatbot for Multi-Industry Enterprise Clients
Development of a Secure iOS Medical Testing App with Bluetooth Integration for Pulmonary Function Assessment