ENHANCING A GLOBAL HEALTHCARE REVIEW PLATFORM

Explore how DBB Software partnered with Doctify to develop a global healthcare review platform, leveraging advanced research algorithms to enhance patient decision-making and provider transparency.

Industry

Healthcare & Biotech

Service

Web Development

Team

3 FE Developers, 4 BE Developers, 1 Mobile Developer, 2 QAs

Project State

October 2018 - Ongoing

Country

UK

United Kingdom

Doctify Case Study
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About the Client

Doctify, a UK-based healthcare technology company, operates a global platform that enables patients to review and rate healthcare providers while accessing reliable information to make informed care decisions. With a presence in markets like London, Germany, Austria, Australia, Dubai, and Ireland, Doctify aims to improve transparency and trust in healthcare through patient feedback and data-driven insights.

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:

Algorithm-Driven Insights

Create a research algorithm to analyze patient reviews and provider data for actionable insights.

01

Global Scalability

Ensure the platform supports multi-market expansion with a multi-tenant structure.

02

Review Verification

Implement a system to authenticate reviews and reduce fraudulent entries.

03

Patient Empowerment

Provide patients with reliable, algorithm-enhanced tools to find and evaluate healthcare providers worldwide.

04

SOLUTIONS WE DELIVERED

The educational provider sought DBB Software’s expertise to overhaul their outdated CMS, addressing key operational challenges:

Research Algorithm Development

Designed and implemented an advanced research algorithm to process patient reviews, ratings, and provider data. Built with machine learning techniques, the algorithm identifies patterns, ranks providers, and generates personalized recommendations, improving search accuracy and relevance for users globally.

Cloud Integration

Developed a scalable, multi-tenant backend using Node.js and Strapi (headless CMS) to support seamless operations across multiple countries, enabling rapid market entry into new regions.

Two-Step Review Verification

Introduced a robust verification process for patient reviews, combining user authentication and algorithmic fraud detection, reducing fraudulent submissions.

Cross-Platform Accessibility

Refreshed the web application with React and launched a mobile app using Flutter, integrating the research algorithm’s outputs into an intuitive interface with features like provider search and review browsing.

RESULTS ACHIEVED

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80% Less Fraudulent Reviews

The two-step verification process, powered by the research algorithm, reduced fraudulent reviews, ensuring reliable data for users.

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150% User Base Increase

The multi-tenant structure enabled market access in London (UK), Germany, Austria, Australia, Dubai, and Ireland, supporting a growing user base.

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30% Higher User Engagement

Patients benefited from algorithm-driven insights, with an increase in user engagement due to improved provider recommendations.

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