Grace Family - Patient Care Portal & Telehealth Platform
A digital front door for urgent care clinics featuring automated online registration, ID verification, live telehealth visits, e-prescribing, and contactless bill payment.

Client overview
01 / 06Grace Family Care and Urgent Care required a frictionless digital experience for patients. Woltrio built an end-to-end digital visit flow: patients register, upload insurance, verify identity, consult with clinicians via integrated video, receive electronic prescriptions, and settle bills in a single streamlined session.
Challenge
02 / 06Urgent care centers manage unpredictable patient volumes. Paper-based intake forms, phone registration, and manual insurance verification caused waiting room bottlenecks and delayed urgent clinical interventions.
“Patients love being able to check in from home and join video visits without downloading separate apps. It drastically reduced our waiting room crowding.”
Clinical Operations Lead · Grace Family Medical
Solution we delivered
03 / 06Woltrio delivered a mobile-responsive patient portal with pre-visit ID & insurance OCR capture, WebRTC video consultation rooms, an automated e-prescribing integration, and automated Stripe billing.
Technologies
04 / 06The technology stack was selected for rapid development velocity, high reliability, robust security, and seamless horizontal scalability.
Team
05 / 06A dedicated, cross-functional agile engineering pod worked in lockstep with the client through weekly sprints, daily asynchronous check-ins, and continuous delivery.
Results
Woltrio successfully delivered Grace Family - Patient Care Portal & Telehealth Platform on schedule within the agreed 2.5 Months timeline.
The deployed platform achieved exceptional operational performance, mission-critical reliability, and seamless user adoption across all target workflows.
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Capabilities & Services
Native iOS & Android and React Native applications built for performance.
High-throughput web applications, portals, and SaaS platforms.
Rapid concept-to-launch agile delivery in 6 to 8 weeks.
Custom machine learning models, LLM pipelines, and automated intelligence.
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