The Healthcare at Home platform is designed to bridge the gap between patients and healthcare providers by offering a scalable, secure, and AI-powered digital health marketplace. It enables users to book home care services, schedule teleconsultations, receive medical product deliveries, and access personalized health monitoring through a seamless web and mobile interface. By integrating intelligent provider matching, automated scheduling, and escrow-based payments, the platform ensures a convenient, efficient, and trustworthy healthcare experience for patients and caregivers alike.

With an emphasis on accessibility, security, and automation, the platform enhances healthcare delivery by leveraging AI-driven recommendations, HIPAA-compliant data security, and predictive analytics for demand forecasting. Patients benefit from flexible service options, while healthcare providers can efficiently manage their schedules, consultations, and earnings. By offering subscription-based models, commission-based transactions, and promotional opportunities, the platform is not just a healthcare solution but a sustainable business model that fosters long-term engagement and improved patient outcomes.

This project was developed for a care and legal services provider to streamline operations through a GDPR-compliant digital system. It includes a Legal Representative Portal (EV Portal) for secure client management, an intelligent Route & Assignment Planning module to automate staff scheduling and routing, and a Billing system that applies client-specific rates and generates structured invoices. Together, these solutions replace manual processes with automation, ensuring compliance, transparency, and operational efficiency.

This project is a Web-based E-Prescribing & Document Processing Platform designed for healthcare providers and organizations to manage electronic prescriptions, sales orders, and documentation efficiently. The platform integrates with Brightree via API for seamless data synchronization, ensuring automated handling of product catalogs, patient records, and order tracking. A robust AI-powered document ingestion system processes medical faxes, extracts key details using OCR, and categorizes them for compliance checks. The system enhances efficiency through automated validation, real-time chat support, and AI-driven data extraction while ensuring secure handling of sensitive medical data.