About the Client
Our client, based in USA, is one of the fastest growing healthcare technology providers delivering clinically led obesity care through a HIPAA-compliant digital platform. Since its launch in 2017, the platform has scaled to serve over 1 million registered users, with 1,000 daily active mobile users engaging in consultations, prescriptions, and progress tracking. Each day, the system processes thousands of health data points from wearables, remote patient monitoring devices, and EHR integrations, giving providers a real-time view of patient progress.
Industry: Healthcare Technology
Service: Product and Platform Engineering
Tech Stack: React Native, ReactJS, NodeJS, Cursor, Voice Recognition, Data Visualization Tools
Business Challenge
Struggling to Scale: Web-Based Platform Limitations in a Growing Virtual Care Ecosystem
The client operated a web-only care platform, designed for virtual consultations and obesity management. However, as adoption grew, the platform faced mounting challenges around accessibility, engagement, and scalability. The web-only interface restricted mobile accessibility, while inconsistent user experiences across devices frustrated patients and providers. The integration of remote patient monitoring (RPM) devices, wearables, and the EHR system for real-time monitoring was inefficient, hindering seamless data flow. Tracking patient adherence to treatment plans remained a manual and inconsistent process, while lengthy release cycles delayed the introduction of new features critical for scaling.
The Zuci Solution
Driving Rapid Mobile Innovation and Scalable AI Integration for Patient-Centric Digital Care
Accelerating mobile transformation in just 6 months
We built HIPAA-compliant iOS and Android applications using React Native within a MACH architecture. In just 6 months, we launched the first mobile release, creating a seamless and consistent user experience across web and mobile. We reimagined patient and provider workflows with the UIComp library to ensure ease of use and continuity of care.
Embedding AI for engagement and speed
We adopted Cursor for coding and QA, reducing development cycles by 20%. AI-powered code recognition removed manual data entry from the mobile app. Helper bots supported patients and providers in real time, strengthening adherence and reducing administrative load. We also implemented an AI-powered care escalation engine that flagged high-risk patients 48 hours earlier with 88% accuracy, reducing false alerts by 40%.
Integrating health data for clinical continuity
We enabled data synchronization with Apple Health and Google Fit, allowing automatic weight and activity tracking. These were visualized into actionable 30/60/90-day trends for providers. Integration with EHR ensured that patient data, including appointments, prescriptions, and treatment history flowed seamlessly, bridging digital care with clinical records.
Scaling delivery capabilities
As the client’s business grew, we went beyond mobile development into web engineering and AI integration, ensuring the platform could handle increasing transaction volumes, wearable data streams, and clinical workflows without compromising performance or compliance. By collaborating closely with the client’s team, we enabled continuous innovation and reliable feature delivery at enterprise scale.
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