MetadviceEnhancing Clinical Decision-Making with AI
As the sole designer, I worked with the lead data scientist and doctor to design the clinical interface and helped implement it, with code assistance to ensure design parity. Metadvice is a global healthcare technology company that combines AI and patient records to enable a future where everyone can live longer, healthier lives.
Clinical Interface Design
Designing the interface to work on the web, and embedded in healthcare systems
Working with the Clinical Lead (a practising part-time GP) we ran usability tests on wireframes to ensure feasibility and easy, traceable workflows.
Creating access to relevant patient data was key in this project. At all times the user — a nurse, pharmacist, doctor or specialist — can know exactly where they are in accessing the patient records.
Some users may have access to one Clinic (in the UK this is a GP surgery), where other users may have access to a whole group of Clinics. The experience for each may have different rights and permissions — but the experience is just as streamlined.
- User Experience (UX): Designing intuitive workflows and interfaces to simplify complex medical data for diverse user groups.
- User Interface (UI): Developing a cohesive and visually appealing design system adaptable to various healthcare settings.
- Branding: Ensuring that the platform's design reflects Metadvice's mission and values while maintaining a consistent user experience.
- Front-End Development: Contributed to the front-end code for layout and components using TypeScript and TailwindCSS, ensuring responsive, accessible, and maintainable designs.
A complete clinical picture
Dozens of risk factors, vitals, and history, surfaced where they matter
Clinicians don't have time to hunt through tabs. Every signal needed to be reachable in a glance, with the most relevant ones rising to the top based on patient risk.
Real outcomes from the Ball Tree pilot
436 patients reviewed across primary and secondary prevention
A six month pilot at Ball Tree GP practice tracked 908 patients to see whether embedding decision support directly in the clinical workflow could measurably improve cardiovascular outcomes. The metrics below are based on the 436 patients with three or six month follow-up data.
35%
Patients maintained or improved their cardiovascular risk score
3.8
Predicted CVD events avoided across the cohort
£35k
Estimated savings to the healthcare system
Alastair has a real instinct for what matters in the data and what doesn't. He worked hand in hand with our data scientists, and built something clinicians actually wanted to use.
Charlotte Kenny
Managing Director & GP, Metadvice
For more information about Metadvice, visit their official website.