smartHealth

smartHealth

We deal with a new information technology generation that involves big data, internet of things (loT), cloud computing, and artificial intelligence to transform the conventional medical practices in an all-round way, making healthcare more efficient, more personalised, and more convenient. Smart healthcare services like smartHealth and smartTelehealth are utilising the technology that leads to better diagnosis, well-organised treatment plans, and devices that improve life quality, which can be adapted and are cost-effective.

At smartData, we understand that to keep pace with the technological advancements, the essence of reusability and scalability is manifold. On similar lines and using the latest technologies, we have built components of clinical care solutions that help health organisations and providers to manage their practice requirements efficiently. Our smartHealth solution is a SaaS-based platform for organisations with multi-locations that includes the following major features:

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smartHealth- components of clinical care solutions | Telemedicine-EHR


Recent Portfolio Projects

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Charting App Test Task 4

Charting App Test Task 4

The Chat project involves the implementation of dynamic and interactive data visualization features, specifically focusing on Bar Charts and Pie Charts. These charts are designed to display multiple measures with customizable display options, enhancing the user's ability to analyze and interpret data effectively.

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AI-Driven Research & Reporting for Chronic Disease Care

AI-Driven Research & Reporting for Chronic Disease Care

This project delivers an integrated AI and analytics platform for the Foundation for Sickle Cell Disease Research (FSCDR). It connects ECW (eClinicalWorks) EHR data with advanced AI-based predictive models to identify high-risk patients, automate follow-ups, and streamline state grant reporting (CMO99, CMOAE Tasks 5–13).
The goal is to transform static EHR data into actionable insights — improving research visibility, compliance, and patient outcomes while cutting down manual reporting workloads. The solution supports predictive ER-risk modeling, AI-based outreach automation, and Power BI-driven compliance dashboards across FSCDR’s Centers of Excellence.

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AI Fitness Mobile Application

AI Fitness Mobile Application

The AI Fitness Mobile Application is an AI-powered fitness coaching platform designed to help users improve their fitness, performance, and overall health through personalized training and nutrition programs. Acting as an intelligent virtual coach, the system adapts workouts and guidance based on individual goals, fitness level, lifestyle and continuous user feedback.

The application combines running and walking plans, strength training, flexibility & mobility routines and nutrition planning into a single unified experience. Through a detailed onboarding process, the AI generates customized programs that evolve over time, ensuring progressive development while minimizing injury risk. 

The platform includes a unified training calendar, progress tracking, workout logging, and an interactive chatbot that communicates in an encouraging, science-based and goal-focused manner without providing medical advice.

Delivered as a cross-platform mobile app (iOS & Android), the solution supports a free trial model followed by subscription-based access, along with an admin dashboard for monitoring users, engagement and subscriptions.

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