Products / AI
VitaSphere
Your health records in one app
Test results accumulate on paper, in email and across different clinic portals. Before an appointment, people have to piece their history together: find a report, check its date and compare measurements across separate documents.
Health data · AI
- My work
- I built the design system, cross-platform app, backend and AI document-processing integration, with manual review and queued updates when connectivity returns.
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Health records and measurements in one app
I am building VitaSphere to keep that history in one app. It connects original documents, health measurements and chat-based actions, from adding a lab report to correcting an individual value.
Demonstration data
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From a lab report to a measurement history
The app keeps the original report and extracts individual measurements: their names, values, units and the reference ranges printed on the document. Results from separate tests can then form a measurement history.
The source stays available for checking. A review screen places the original document beside its structured values. Users can correct a value, unit or reference range while keeping the original file intact.
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A chat interface for getting things done
The chat connects to the app's functions. Choosing to edit a measurement opens a conversation where the user can change its value, unit or reference range. The change is saved to the document record.
Uploading follows the same pattern: choose a file, review its pages and confirm. If the document is already in the archive, the app explains this instead of creating another copy.
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Keeping the source documents available
Each document has a type, a date and a detail view containing both the original and its structured results. Users can return to a particular examination and open its source report without searching through photos and messages.
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Connecting the parts
Uploading a file and sending it to a model is only part of the work. Extracted data needs to belong to the right profile, remain linked to its source, support corrections and appear in the measurement history.
I separated profiles and access control, document storage, measurements and AI processing into backend services. The client uses a shared design system and queues changes for submission when connectivity returns. The mobile client also has a dedicated local file store.
VitaSphere is still being developed. Its current features include the medical archive, measurement journal, charts and guided chat actions for working with records.
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Technologies
The client uses Vue 3 and Nuxt 4, with Capacitor as its native shell. Backend services run on Bun and Hono. Data and messaging use PostgreSQL, Drizzle ORM, Redis, Kafka and S3-compatible storage. Updates are delivered through Docker Compose and GitLab CI.