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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Development of a Portal and API for Subscription Management

Development of a Portal and API for Subscription Management

The AERO/Core project aims to refine, stabilize, and optimize the management of subscriber updates.  We develop a portal and Integration API system for an air ambulance subscription service, enabling efficient membership management, intermediary integration, and data synchronization with Odoo ERP.

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Online Rehab VOD Website

Online Rehab VOD Website

The Exercise Clinic OnlineRehab VOD Website aims to bridge the gap in accessible rehabilitation and fitness education by providing on-demand video content and informational PDFs for patients recovering from various health conditions. The platform will offer categorized rehabilitation videos and information PDFs under a paywall model, with select freemium content for medical practitioners. Users can search, purchase, and bookmark content, while admin manage subscriptions, content, and user accounts. The system will feature a secure login, patient and admin dashboards, and a seamless payment gateway integration to support a subscription-based or pay-per-content model.
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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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