Medforge: Health platform.
A mobile app for health & wellness, built with React Native and Django REST Framework. Records, plans and progress stay consistent between the user and whoever supports their care, in a product simple enough for daily use.
Anonymised case study. Project names are aliases used to protect client confidentiality. The case study covers the project’s challenge, approach, technology and outcome.
The challenge.
- Health data and routines were spread across notes, apps and clinic systems.
- Users needed to track and act on their health from their phone.
- The experience had to stay private, clear and dependable.
- Sensitive data had to be handled carefully, with users always in control of what is stored.
Our approach.
- Built the mobile app with React Native for tracking, plans and reminders.
- Backed it with Django REST Framework to store records and progress securely.
- Modelled the domain so users and providers see a consistent picture.
- Kept the flow simple enough for daily use.
- Applied least-access principles to sensitive records throughout.
The outcome.
- Users track and manage their health from one app.
- Records and progress are stored consistently, not scattered.
- The product ships on the platforms users carry.
- Users keep control of their data while getting a genuinely daily-usable product.
Related healthcare & life sciences work.
Anonymised case studyHealthcareFitmesh: workout, diet & social fitness.
One app replaces three for serious users.
React Native · Django · Django REST Framework · PostgreSQL
Anonymised case studyHealthcareWellthread: shared health records, plans and progress.
A web app for health & wellness, built with Google Cloud Functions. Records, plans and progress stay consistent between the user and whoever supports their care, in a product simple enough for daily use.
Google Cloud Functions
Anonymised case studyHealthcareSwiftcart: Health platform.
A web app for health & wellness, built with Flask and Python. Records, plans and progress stay consistent between the user and whoever supports their care, in a product simple enough for daily use.
Flask · Python
Where AI fits in healthcare & life sciences.
Drafting letters and summaries for clinicians to approve, patient assistants that know when to hand over, and retrieval over guidance documents, built with UK GDPR and clinical safety in mind.
Explore AI developmentClient feedback on our work, separate from the anonymised project described above.
One of their strengths is quickly building out a multi-disciplinary team to work on the development and delivery of features with different technical requirements. Their support has allowed us to accelerate our development work without building an internal team. They have also worked seamlessly with other third parties both during the acquisition of Dragonfly and development of our mobile app.
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Describe the workflow, existing systems and the change you need. Use the enquiry form to discuss scope and next steps.