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Case study · Health tech · Canada

An AI-powered health tracking app for patients and providers

Web and mobile health tracking with personalized AI insights, an assistant, appointments and wearable sync, for a health tech company in Canada.

Illustration of the AI health tracking app: a smartwatch syncing heart rate to the phone dashboard, with an AI health assistant and a booked follow-up
downloads in the first quarter after launch
15,000+
higher engagement with health tracking
40%
Industry
Health tech
Client location
Canada
Platform
iOS, Android and web
Client
Client confidential
The challenge

The client was new to health tech and had no central system for tracking health data in real time.

Patients entered data by hand, providers had no shared view, and recommendations were not personalized.

The product had to handle sensitive health data carefully and work with wearables and third-party services from the start.

Illustration of the starting point: readings typed by hand, devices not syncing, symptom notes and a provider view with no patient data
Before: readings typed by hand, devices out of sync and no shared view for providers. Illustration.
What had to change

The constraints the new system had to remove.

  • No central place for real-time health tracking
  • Heavy manual data entry for patients
  • Strict privacy expectations for health data
  • Integration with wearables and third-party APIs
What we built

Mobile apps and a provider portal share one data platform, with AI analysis and reminders running on top of it.

Illustration of the delivered system: a wearable, the patient app with an AI health assistant and a provider portal sharing one data platform
Mobile apps and a provider portal share one data platform. Illustration.
Real-time analysis of symptoms, vitals and history
Personalized dashboards with daily insights
AI assistant for health-related questions
Appointment booking with notifications
Admin panels for providers and internal staff
How the system works

5 steps from problem to platform.

  1. 01

    One product, two audiences

    UI and UX for patients and for providers were designed together, so both see the same data in the form each needs.

  2. 02

    Cross-platform build

    Flutter delivered iOS and Android apps from one codebase, with Firebase services and a provider web portal.

  3. 03

    AI with a clear job

    A custom model and GPT-4o analyse symptoms, vitals and history to produce daily insights, and an assistant answers health questions within defined limits.

  4. 04

    Connect the devices

    Wearable sync with devices such as Fitbit and Apple Watch removed most manual entry.

  5. 05

    Protect the data

    Encrypted storage and access controls were built in, designed around HIPAA and GDPR requirements.

Key engineering decisions

Why it was built this way.

Flutter for both platforms

One codebase kept iOS and Android in step and let a single team ship features to both at once.

Wearables first

Syncing devices removed the manual entry that makes people stop tracking, which mattered more than any single feature.

A bounded assistant

The AI assistant informs and encourages; it does not diagnose. Clear limits kept it useful and safe.

The outcome

What changed for the business.

15,000+downloads in the first quarter after launch
40%higher engagement with health tracking
  • Patients track their health in one place, with far less manual entry
  • Providers and clinics see the same up-to-date picture
  • Recommendations are personal instead of generic
  • Strong adoption by health consultants and clinics after launch
Illustration of launch results: more than 15,000 downloads in the first quarter and 40% higher engagement with health tracking
Results after launch, from the approved case study. Illustration.
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