Supporting Parkinson’s Research, One Step at a Time.
We partnered with Dr. Rosie Morris and the iFell team to design and build a mobile app that helps people with Parkinson’s and their caregivers, record and understand fall patterns. Designed for research, clinical insight, and real-world usability, iFell lays the foundation for smarter support and safer mobility.
Client
iFell
Sector
Health
Product
Mobile App
Year
2026
Falls are a common, and often devastating, reality for people living with Parkinson’s. But despite their impact, they’re rarely tracked in consistent, structured ways that allow for meaningful clinical intervention.
Dr. Rosie Morris, a leading academic in neurological physiotherapy, identified the need for a better solution. With support from an NIHR Advanced Fellowship, she set out to build a digital tool that could capture detailed fall data, support self-management, and generate insight for clinicians and researchers alike.
The goal was clear: a mobile app that’s easy to use, medically valuable, and empowering for patients and caregivers — without overwhelming them with complexity. Achieving that meant addressing several challenges: making fall reporting quick, intuitive, and non-intrusive; designing for multiple user types including patients, carers, and professionals; capturing clinically useful data while protecting privacy; and providing meaningful summaries and insights within the app itself.
Accessibility was also essential — the interface needed to be inclusive and usable for people with a wide range of abilities. And because the project is research-driven, the app had to be distributed outside of public app stores, ensuring a controlled testing environment that wouldn’t compromise data integrity.
A Simple, Research-Ready App to Track Falls and Drive Change.
Working closely with Dr. Morris and her collaborators, we designed and developed the iFell mobile app from the ground up. The app allows users to log both falls and “near misses” through a simple, question-led flow. Over time, it builds up a rich picture of patterns, locations, causes, and outcomes — data that can be shared with clinicians, researchers, or support networks.
The MVP is designed for testing and research use rather than public release, enabling the collection of high-integrity data. Using Flutter, we created a cross-platform mobile experience optimised for both iOS and Android. Its clean UI, WCAG-compliant design, and simple navigation make it accessible to users with Parkinson’s, cognitive impairments, or limited dexterity.
At the heart of the app is a reporting dashboard that transforms logs into insight. Users and caregivers can review stats over time, while the admin-facing CMS allows medical teams to view and export anonymised data for further research. The CMS, built using Filament and Laravel, ensures content flexibility and long-term maintainability.
A Simple, Research-Ready App to Track Falls and Drive Change.
Working closely with Dr. Morris and her collaborators, we designed and developed the iFell mobile app from the ground up. The app allows users to log both falls and “near misses” through a simple, question-led flow. Over time, it builds up a rich picture of patterns, locations, causes, and outcomes — data that can be shared with clinicians, researchers, or support networks.
The MVP is designed for testing and research use rather than public release, enabling the collection of high-integrity data. Using Flutter, we created a cross-platform mobile experience optimised for both iOS and Android. Its clean UI, WCAG-compliant design, and simple navigation make it accessible to users with Parkinson’s, cognitive impairments, or limited dexterity.
At the heart of the app is a reporting dashboard that transforms logs into insight. Users and caregivers can review stats over time, while the admin-facing CMS allows medical teams to view and export anonymised data for further research. The CMS, built using Filament and Laravel, ensures content flexibility and long-term maintainability.
App details.
- Easy incident logging for Falls and Near Misses
- One-question-per-screen UX with emoji-based severity ratings
- Medication tracking integrated into the reporting flow
- In-app statistics dashboard with filterable timeframes
- Customisable fields: causes, location, activities, landing direction
- Dedicated homepage with quick access to main functions
- Guided onboarding for patients and caregivers
- Admin CMS for data export and research sharing
- Functional offline logging for consistent data capture
Outcomes.
The iFell MVP provides a structured, scalable platform for fall tracking, offering immediate value for both users and researchers. By capturing consistent data on incidents and near misses, the app helps healthcare teams better understand risk factors, adjust treatment plans, and support more targeted rehabilitation.
For people living with Parkinson’s, the app creates a simple way to track their own patterns, communicate with caregivers, and feel more in control of their condition. The interface is built for real-world use, not just academic insight — and supports users with varying tech confidence and accessibility needs.
With further testing underway and future features already scoped, including enhanced onboarding, fall prevention tips, and shared caregiver accounts — iFell is well-positioned to evolve into a vital tool in Parkinson’s care and research.
