Smplicare Fall Prediction
Secured £560k funding · 96.5% user satisfaction
Starting Without a Viable Product
When I joined Smplicare, the product was a basic web wrapper. It failed clinical viability tests and risked our funding. We needed a native solution capable of capturing complex health data (wearables, fall risk) without overwhelming non-technical users aged 65+.
Strategic Decision
We debated sticking with web-based views for speed vs. building native for data quality. I advocated for a React Native build. While it increased initial dev time by 20%, it was the only way to guarantee the background data syncing required for our AI algorithms.
Screenshot pending
Side-by-side comparison, the original web wrapper against the rebuilt mobile interface
Designing for Clinical Complexity
I designed an admin dashboard that turned machine learning outputs into frailty scores for clinicians. This required mapping clinical risk logic to visual UI patterns.
Screenshot pending
Admin dashboard, clinical frailty scale visualisation
Designing for NHS Compliance
I wrote the NHS DTAC usability documentation and mapped user journeys to 17 NHS service standards to pass the audit.
Screenshot pending
DTAC user journey map, or the DSPT (Data Security and Protection Toolkit) certificate
The Sign-in Experience
Passwordless sign-in and sign-up, covering invited, non-invited, and paid-access routes.
The Impact
Funding secured
Design evidence was critical in securing £560k UKRI funding.
Market entry
Achieved NHS DTAC compliance, unlocking the UK healthcare market.
User success
96.5% user satisfaction from adults aged 65+, in Smplicare's own post-pilot user survey.