Edge Fitness for Apple Watch is a companion app that lets users view, start, and track scheduled workouts (Running, HIIT, Strength) directly from their wrist. With real-time cues, progress tracking, and seamless iOS/backend sync, it minimizes phone reliance during training. Designed for hybrid fitness, it supports multiple workout types out of the box, delivering a streamlined, distraction-free experience.

The solution query the DICOM server, upload and store the DICOM files on the cloud and share the same file in different formats like HL7 format for the doctors/ third party partners and JPEG format to mothers.

The development of the solution involves following processes-

• Querying the DICOM server, uploading to cloud and storing to share the same file in different formats basically HL7 format for the doctors/ third party providers and JPEG format to mothers.
• Admin portal to share and manage the file sharing in different formats to different associated providers.
• Automate sharing of data (DICOM files) with mothers.
• Twilio integration to share data (images) on email or texts specifically to mothers.
• Patients list to be displayed on doctor’s dashboard accessed through HL7 message.
• New features- DICOM viewer for the doctors/ partners (Client will select the pre-ferred viewer from the links shared)
• Multi-tenancy and micro-services architecture.
• Super Admin portal to onboard and manage clinics.
• Subscription plan for the on-boarded clinics

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.