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Healthigo telemedicine case study

[ Case study ]

Healthigo - Telemedicine UX

A telemedicine platform that gives doctors a patient's full medical history, presented visually and assessed with AI, so they can diagnose accurately in less time. I took it end to end: competitor analysis, surveys with 121 patients and 88 doctors, card sorting, and usability testing through to a tested, high-fidelity app. Visual, AI-driven patient-history tracking became the MVP differentiator no competitor offered.

Client
Healthigo
Role
UX Architect
Year
2018
Disciplines
UX Research, Healthcare, Information Architecture, Visual Design, Usability

6

IA areas: Profile, Doctor, Clinic, Speciality, Labs, Payments

[ Information architecture ]

01

Profile

  • Patient history
  • Records
02

Doctor

  • Search
  • Consultation
03

Clinic

  • Locations
  • Booking
04

Speciality

  • Categories
05

Labs

  • Tests
  • Results
06

Payments

  • Billing
  • Checkout

Healthigo is a multi-platform application that connects patients with doctors for quicker, more effective care. Its core idea is simple: make sure a patient's medical issues are well documented and easy to read, so doctors can treat them accurately. I led the end-to-end UX, from research through to a tested, high-fidelity product.

About the project, the problem, the solution, and my role
The brief in one slide: the problem, the solution, and the UX process I owned end to end.

The problem

Patients were often diagnosed wrongly because doctors had no record of their medical history and not enough data to reach a confident conclusion. In a short consultation, a doctor simply doesn't have the patient's own history and experience in front of them to treat correctly.

The solution

Give doctors enough historical data to understand a condition - presented in a clear, visual way - and use AI to help assess that condition to accurate levels. The more a doctor knows about a patient, in less time and a clearer form, the better the treatment. Patient-history tracking, in AI and visual form, became the product's MVP differentiator - something no competitor offered.

Competitor analysis across three platforms
Competitor analysis confirmed the gap: no competitor tracked patient history in an AI and visual form.

Research and discovery

I grounded the work in requirement analysis and user-centred research: competitor analysis across three platforms, quantitative surveys with 121 patients and 88 doctors, qualitative contextual enquiries, personas, empathy maps, and user scenarios that traced how a real patient and doctor would move through the experience.

Quantitative user research surveys with patients and doctors
Surveys with 121 patients and 88 doctors shaped the priorities for both sides of the platform.

Information architecture

Card sorting turned the research into a clear structure - Profile, Doctor, Clinic, Speciality, Labs, and Payments - supported by user flows, mental models, and how-might-we framing, so the app's information was labelled and grouped the way patients actually think.

Card sorting into Profile, Doctor, Clinic, Speciality, Labs and Payments

Design

From low-fidelity wireframes I moved to a high-fidelity visual design and an interactive prototype - flat, material-led UI, pastel medical branding, clear iconography, micro-interactions, and a documented pattern library - keeping a clinical experience calm, legible, and reassuring.

High-fidelity visual design and final app screens
The high-fidelity design: digital-health onboarding, sign in, home, and the visual medical-history tree at the product's core.

Usability testing

Heuristic evaluation and user testing with ten participants surfaced the issues that mattered - the wording of submit and cancel actions, navigation clarity, and error recovery - which I refined before the experience was considered done.

Heuristic and user-analysis usability testing on real screens

Outcome

A telemedicine experience built on real stakeholder and user needs, where a patient's history is finally legible to the doctor - making diagnosis faster, clearer, and more accurate.

The more a doctor knows about a patient, in less time and a clearer form, the better the treatment - that single insight shaped every screen in Healthigo.
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