SouLink
DESIGNING AN AI-POWERED HEALTHCARE PLATFORM, IMPROVING CLARITY AND TRUST IN DOCTOR-PATIENT COMMUNICATION
Introduction
SouLink is a digital health platform designed to improve doctor-patient communication. By combining AI-driven symptom visualization, simplified language, and streamlined booking features, SouLink helps patients express their concerns more clearly and enables doctors to make faster, more accurate decisions.
The platform aims to reduce misdiagnosis, save consultation time, and ultimately enhance the overall healthcare experience.
My role
I was involved in all stages of the project as a UX Designer, from research to the final MVP. My work included user research and analysis, journey mapping, information architecture, competitive benchmarking, wireframing, prototyping, and usability testing.
I also contributed to the business strategy, developing parts of the financial model and defining key metrics.
Project scope
This was a 4-month project developed by a team of five international UX designers.
Working in a multidisciplinary team gave us diverse insights and required strong collaboration to deliver a comprehensive solution. (on-site & remote)
Tools
Figma, Miro, Trello, Microsoft Teams, Zoom, Illustrator, Photoshop
Problem
Up to 20% of doctor-patient encounters globally result in diagnostic errors.
Our research, combining academic literature with interviews of doctors and patients, confirmed that misdiagnosis is often rooted in poor communication.
Patients lack the health literacy and vocabulary to describe their symptoms clearly, while doctors are constrained by limited consultation time and administrative overload. The result is a communication gap that fuels misunderstanding, delays, and ineffective treatment.
💡 Key Insight:
Miscommunication, amplified by low health literacy and limited body awareness, is the critical barrier to accurate diagnosis and effective care.
Solution
AI-Powered visual aids for clearer medical consultations.
Turning complex symptoms into simple, visual communication.
Symptom reporting
AI-powered input that transforms patient language into structured insights.
👉 Patients speak or type symptoms naturally, without medical jargon.
👉 AI analyses input and maps reported symptoms onto an interactive body diagram.
👉 Outputs a clear, structured report, reducing ambiguity from the start.
Patient-friendly treatment plans
Plain language summaries designed for comprehension and recall.
👉 Reports combine text simplification with visual explanations.
👉 Patients leave the consultation with accessible, anxiety-free information.
👉 Improves adherence to treatment plans and follow-ups.
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