AI-driven healthcare platform for hospital staff
My role: Lead UX Designer & Business Analyst. Requirements gathering, end-to-end product design, and user story mapping
Customer
A major non-profit clinic in Paris, internationally recognized and providing medical care in accordance with American and international standards. The clinic serves an international patient audience and actively utilizes digital technologies.
Tasks
- AI-Assisted patient consultation interfaceCurrently, creating a medical report is time-consuming and involves a lot of routine manual work. The new solution aims to accelerate this process using voice recognition and AI-generated reports.
- Interface development for the Check-ups moduleCurrently, the clinic lacks a convenient tool to track a patient's journey during a medical check-up.
- Hospitalization Chatbot Flow OptimizationThe existing flow required improvement and refinement.
- Design System & Asset RefactoringA complete refactoring of the existing Figma file was required, including the creation of components, variables, and a UI kit.
Action Plan
- Discovery & Requirements GatheringConducted a series of workshops with key stakeholders—CTO, doctors, and product owners.
- Iterative PrototypingCreated user personas, Customer Journey Maps, defined key scenarios and user stories, and developed and prioritized hypotheses.
- UX TestingBuilt realistic, clickable Figma prototypes to test hypotheses and presented them to stakeholders and end-users.
- Documentation & Task Creation for DevelopersFormulated requirements into user stories and created tasks in Jira.
- Agile IntegrationCommunicated with developers, clarified requirements, and participated in grooming sessions.
- Design QA & ValidationDesign QA / supervision of the implemented product.
Consultation Module
Interface for doctors conducting in-person consultation, split into 2 main sections: Patient History Review and Report Builder.
The patient history review includes patient's medical data, lab results, and examination findings. The medical report section includes entering examination results, issuing prescriptions, and providing recommendations.
The second version of consultation will support voice recognition functionality and report creation using AI:
Check-ups Module
Interface for doctors, administrators, and nurses to view and manage the patient's check-up process.
Interactive timeline tracking real-time status across multi-stage check-ups
Detailed patient card view displaying individual diagnostic progress and pending steps
Hospitalization Module
Hospitalization planning interface presented in a chatbot format.
Key screens
Comprehensive chat-bot decision-tree to ensure clear alignment with customers and engineering team
Agenda Module
Doctor has access to his appointments during the day
Design System
Assembled a component library that simplifies product creation and updates while ensuring UI consistency.
Functional specification
I documented the interface logic in Figma and linked it directly to the corresponding user story in Notion
Results
- Check-up moduleThe check-up module has been implemented by our team. Positive feedback from clinic staff has been received. The module brought full transparency to patient tracking and significantly reduced overall management time per patient.
- MVP of the Consultation moduleDesigned and successfully tested the core consultation functionality with doctors. Following positive pilot feedback, the production rollout is scheduled for September 2026.
- Consultation v2: AI-driven functionalityThe realistic Figma prototypes have been created for general practitioners' and cardiologists' review. Positive feedback has been received. The project is currently in technical discovery, with full development targeted for September 2026.
- What I learnedWorking on this project was really exciting because of its AI-driven features. I got the opportunity to design new things for me:
- Voice-to-Text Clinical Assistant: Real-time speech recognition during consultations.
- AI-Generated Medical Reports: Smart summaries built automatically from verbal doctor-patient interactions.
- Conversational Chatbot: Guided logic for seamless patient hospitalization planning
Thanks for attention! If you're interested in collaboration, feel free to say hi!
