EMPOWERING PATIENTS WITH A DIABETIC RETINOPATHY TRACKING APP

Learn how DBB Software collaborated with RetinaRisk to develop a mobile application that helps patients track their diabetic retinopathy risk, receive tailored screening recommendations, and gain insights into their condition.

Industry

Healthcare & Biotech

Service

Mobile App Development

Team

1 Mobile Developer, 1 BE Developer (DevOps)

Project State

August 2019 - December 2020

Country

Iceland

Iceland

RetinaRisk Case Study
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About the Client

RetinaRisk, an EU-based health technology company, is dedicated to preventing vision loss caused by diabetic retinopathy—a leading cause of blindness among diabetic patients. Their innovative approach combines clinical expertise with technology to provide personalized risk assessments and empower patients to manage their eye health proactively.

THE CLIENT'S 
INITIAL REQUEST

Doctify engaged DBB Software to revamp and scale its platform into a global healthcare review powerhouse, with a focus on developing sophisticated research algorithms to power its functionality. Their key goals included:

Risk Tracking

Enable patients to monitor their diabetic retinopathy risk based on personal health data.

01

Personalized Screening Recommendations

Provide tailored suggestions for eye screening frequency based on individual risk profiles.

02

Condition Education

Offer clear, accessible information to improve patients’ understanding of diabetic retinopathy and its management.

03

User Empowerment

Design an intuitive interface to encourage proactive health management and engagement.

04

SOLUTIONS WE DELIVERED

The educational provider sought DBB Software’s expertise to overhaul their outdated CMS, addressing key operational challenges:

Risk Tracking Module

Developed an algorithm-driven feature that calculates and tracks diabetic retinopathy risk using patient inputs like blood sugar levels, blood pressure, and diabetes duration, providing real-time updates on risk status.

Personalized Screening Recommendations

Integrated a recommendation engine that analyzes user data against clinical guidelines, delivering customized screening schedules (e.g., “Next screening in 6 months”) to optimize eye care timing.

Educational Content Hub

Created an in-app library with digestible content—videos, articles, and infographics—explaining diabetic retinopathy, its progression, and preventive measures, enhancing patient awareness and understanding.

User-Friendly Interface

Designed a cross-platform app (iOS and Android) with Flutter, featuring an intuitive dashboard, interactive charts, and push notifications to keep patients engaged and informed about their condition.

RESULTS ACHIEVED

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Improved Health State Assessment

AI-powered analysis of retina images enables millions of users to accurately assess their health and identify the risk of diabetic retinopathy development.

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Personalized Recommendations

The app provides users with personalized recommendations and screening scheduling assistance.

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Higher User Engagement

Users are more engaged with the app through personalized features and continuously updated information on their condition.

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