UI/UX design & full-stack development of a medical AI assistant platform
About the project
Dana Assist is a medical AI assistant for doctors — primarily Spanish-speaking clinicians — built around an AI chat assistant, patient notes, lab results, medical protocols, a medication reference, and real-time audio transcription and translation during consultations. It runs as a web app and native iOS/Android apps, backed by a shared platform underneath.
Challenge
The client came to GRND with an idea, not a spec. The two sides ran a joint brainstorm to shape the product, then wrote it up as a full scope of work — a single product that would need a backend, a web app and native mobile apps working as one system, handling real clinical workflows and sensitive patient data, with realtime chat, live audio and AI woven through all of it from day one.
What GRND delivered
Everything, end to end: the brainstorm and scope of work, wireframes and full UI design, and the complete build — a Java/Spring Boot backend, a React web app, and a Flutter mobile app for iOS and Android — all as one product, unified by shared authentication, realtime chat, and AI integration across every platform.
Tech stack
One product, built completely
Most agency engagements mean picking up one layer of an existing system. Here there wasn't an existing system — just an idea for a clinical AI assistant. GRND built the whole thing: an AI chat assistant, secure patient notes, lab analyses, medical protocols, a medication reference, and live audio transcription and translation during consultations — the backend, the web app, and the native iOS/Android app, all as one product. One team owned every layer, from the first brainstorm to the API.
One realtime backbone, every platform
Chat with the AI assistant, chat between doctors, and live audio translation all needed to feel instant — on web and on two mobile platforms. GRND built one realtime layer and kept it working the same way across the backend, the web app and the mobile app, backed by one shared login system, so a doctor's session behaves identically no matter which device they pick up.
Handling data that actually has to stay private
This isn't a product where security is an afterthought — it holds real patient information. GRND encrypted patient data stored on the phone itself, not just data moving between the app and the server, and built login around PIN codes and biometrics rather than something weaker and quicker to ship. The security bar here matches what a clinical product actually needs, not what a typical consumer app gets by default.
Our work process
Discovery & scope
Ran a joint brainstorm with the client to turn an idea into a defined product, and wrote it up as a full scope of work covering backend, web and mobile as one system.
Wireframing
Wireframed the core clinical flows — chat, patient notes, analyses, protocols — for both web and mobile.
UI design
Designed the full UI system carried across web and native mobile.
Development
Built the backend, web and mobile apps in parallel, with realtime chat, live translation and AI integration threaded through the whole product from the start.
Testing
The product is currently in testing ahead of release.
Outcome
Dana Assist is currently in testing, with the backend, web app and mobile apps built and integrated end to end as one product.
One team built the entire product from an idea
GRND took Dana Assist from a brainstorm to a real, fully-featured clinical platform — backend, web and mobile — handling clinical workflows, realtime AI chat, and sensitive patient data securely, all as one system. That's the rare part: not a redesign, not a single-layer engagement, but a whole product owned end to end by one team, from the first sketch to the last line of backend code.
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