This digital platform is designed for radiologists and imaging professionals, offering a secure and streamlined solution to convert faxed imaging request forms into structured digital data. By leveraging advanced AI for data extraction and processing, it simplifies the traditional fax-based workflow, enabling healthcare experts to review, update, and manage imaging protocols with ease. Operating within a fully HIPAA and PIPEDA-compliant environment, the platform addresses the unique challenges of medical imaging management, ensuring efficiency, accuracy, and enhanced patient care throughout the diagnostic process.
The intent of the application is to create SOAP notes for the patient history by using chatGPT and a private knowledge base. The proprietary extension parses patient history from the patient management website and sends it to the backend API. The backend API receives the patient history and returns the generated SOAP notes to the client extension.
AI-Based Contact Center System is designed to address this need by providing a state-of-the-art platform that harnesses the power of advanced artificial intelligence. Our system offers a comprehensive suite of tools and features specifically crafted to enhance customer interactions across a range of industries, including Healthcare, Retail, Fintech, Real Estate, and more. By integrating sophisticated AI technologies, we enable contact centres to streamline operations, optimize performance, and deliver superior service. This solution combines real-time transcriptions, intelligent analysis, and interactive bots to create a seamless and efficient customer experience.
Our market research automation platform simplifies data collection, adapts surveys in real-time, and delivers instant, actionable insights. With scalable reporting and robust security, it streamlines research processes, reduces manual work, and ensures compliance, helping organizations make faster, data-driven decisions and stay competitive.
The client, a high-volume enterprise seller managing over 120K SKUs, struggled to maintain competitive pricing across marketplaces like GSA Advantage due to manual and inconsistent processes.
smartData developed an automated Competitive Pricing Intelligence and Price-to-Beat platform that continuously discovers, validates, and compares pricing data from Amazon and verified U.S. vendors. The system applies rule-based matching, filters unreliable sellers, calculates landed costs, and identifies optimal competitive pricing.
Built with a scalable architecture, the platform integrates seamlessly with ERP (Business Central) using automated CSV exports and S3/SFTP delivery. It enables real-time pricing visibility, reduces manual effort, and ensures compliance with marketplace requirements.
The solution empowers the client to make faster pricing decisions, improve accuracy, and maintain a strong competitive position in a high-volume marketplace.
This is a SaaS-based School Management System that supports different types of models to automate the various processes of schools in Jordan. This has an automated School ERP system that can be accessed through smartphones and it can manage data in one place.
It is useful for pre-registration, student management, attendance management, and teacher assignment and management. School timetable, assessments, school - student relationship, school billing and transportation services - all accessed and managed easily.
It is Campus Management Software, developed for an Australian client. It is flexible and scalable, making it suitable for organizations of all sizes to manage and automate their administrative and academic activities. This platform operates under a subscription-based software-as-a-service (SaaS) model, whereby institutions pay a monthly or annual fee for access to the system's features such as course scheduling, registration, fee collection, attendance tracking, grading, and data analytics.
Through this web-based platform, faculty, staff, and administrators can easily access information and perform tasks online, resulting in streamlined workflow processes, and enhanced data accuracy and analysis. The system enhances communication between students, faculty, staff, and administrators, providing a centralized platform for announcements, messaging, and updates.
The Medshafy App is a B2B eCommerce platform designed for healthcare product purchases. The app allows users to browse, search, and order healthcare products, while the admin panel enables product management, order tracking, and user management. The platform supports multilingual functionality (English & Arabic) and integrates secure payment gateways like PayTabs and Apple Pay.
The primary objective of the platform is to transform the neuro clinic’s data into an intelligent, and research-enabling asset by implementing a Clinical Decision Support and Research System (CDSS) that consolidates patient, operational, and financial information into one secure, analytics-driven environment. The solution provides real-time insights for clinical decision-making, research enablement, and revenue visibility, ensuring HIPAA-compliant data governance. It will also streamline operational workflows by automating performance tracking, monitoring patient flow, and improving scheduling efficiency, while strengthening financial management through comprehensive visibility into revenue, billing accuracy, and payer mix analysis.
The client required a scalable digital platform to streamline functional medicine workflows, where providers previously spent significant time manually analyzing complex lab reports alongside patient symptoms and medical history. We developed an AI-assisted telehealth platform that unifies patient intake, lab report uploads, biomarker analysis, and provider-reviewed care plans within a single ecosystem. The solution leverages AI for intelligent data extraction, pattern recognition, and biomarker correlation while ensuring healthcare providers retain full control over clinical decision-making. Additionally, the platform offers teleconsultation capabilities, subscription-based care programs, automated follow-ups, and wearable device integration, enabling personalized and continuous patient care while improving operational efficiency.