Ygea leverages advances in Health-IoT to rethink the clinical and organisational journey of people with chronic conditions and frail users.
The goal is to design and implement an environmental and clinical monitoring system that supports caregivers and healthcare teams, improving safety, continuity of care, and decision-making.
Problem
Fragmented information and late alerts increase clinical risk.
Solution
Ygea integrates real-time environmental and clinical signals, generates actionable alerts, and provides role-based dashboards (caregivers, nurses, physicians).
Expected outcomes
Faster detection of anomalies and better prioritisation of interventions.
Lower cognitive load thanks to a clear visual hierarchy and task-oriented flows.
Better coordination among stakeholders through shared dashboards and activity tracking.
User permissions
During the analysis phase we defined five roles. To meet MVP timelines we released three roles, planning the other two for the next release.
Permissions are role-based and aligned with the flows to ensure safety and reduce cognitive load.
MVP
Super Admin • Nursing coordinator • Internal IT
Next release
External technician • Caregiver
User Flows
We mapped an initial flow for each role, describing actions, inputs, and handovers.
This alignment defined permissions, UI priorities, and test scenarios, reducing ambiguity between teams.
User Flow – Super Admin
Complete flow mapping all actions and steps available to the Super Admin. Used as a single source of truth for permissions, UI priorities, and test scenarios.
Low Fidelity Wireframe
Initial wireframes used to validate layouts, hierarchies, and flows before the final UI.
Created for each role and iterated in short cycles to remove ambiguities and prepare the hi-fi prototype.
High Fidelity Wireframe
The high-fidelity wireframes were used to run usability tests with internal users, focusing on visual clarity, completion times, and error handling.
25
reduction in average task completion time (patient check-in, monitoring of environmental devices)
40
fewer errors during patient check-in.
4.6
out of 5 in post-test satisfaction.
These results confirmed the effectiveness of the interface and guided the final refinements before development.
From UI Kit to Design System
The initial component kit evolved into a modular, documented Design System to ensure consistency, accessibility, and scalability across teams and products.
Design System
Tokens, components, and patterns documented for consistency and speed.
Results
−30% revisions, −25% implementation time, WCAG compliance.
Prototyping
Interactive Figma prototype to validate flows, permissions, and UI priorities through moderated tests.
Insights and measurements (times, completion, errors) guided the last refinements before development.
Simulation of the main flows in the interactive prototype, used for usability testing and alignment with the development team.
