Telus Health Virtual Care

Case study

Overview

At TELUS Health, clinicians frequently spent valuable consultation time collecting patient information that should have been provided beforehand. I led the design of a structured consultation preparation flow to reduce administrative workload and improve the consultation experience.

My contribution

Prototyping

Product design

Usability testing

The team

4 x clinicians

15 x engineers

1 x product manager

1 x product designer

1 x copywriter

Timeline

9 months

Platform

iOS

Android

Web

The challenge

Clinicians were frustrated that patients were joining consultations without providing information and documents needed to proceed.

  • Photo ID verification

  • Medical history

  • Allergies and medications

  • Preferred pharmacy

Instead of focusing on care, clinicians were forced to complete administrative work during consultations. resulting in loss of consultation time and schedule disruptions.

Key Insights

Patients in the virtual waiting room often:

  1. Didn't know how long they would be waiting

  2. Left the app whilst waiting

  3. Missed clinician messages or calls

This resulted in missed consultations and scheduling disruptions for clinicians.

Constraints

Designing the solution required navigating several technical and regulatory constraints.

  • Ensure all patient data and flows comply with regulation & clinical requirements.

  • Create solutions that work with legacy backend limitation

  • Entire flow had to exist inside a modal interface - no page refreshes, redirects and limited ability to save progress

Designing the solution

To ensure patients arrived prepared for consultations, I designed a structured pre-consultation intake experience.

The goal was to guide patients through required preparation steps before entering the waiting room and reduce clinician workload.

  1. Tasks were broken down into segmented screens.

  2. Administrative user tasks were broken down into a 'gamified' list which encouraged users to complete.

  3. Status indicators reduced uncertainty, provided clear feedback and encouraged completion of missing items.

Innovation: AI-Assisted Care Plans

Beyond improving consultation preparation, I also explored a concept for AI-assisted care plans.

After a consultation, clinicians often need to create a care plan outlining next steps for the patient. This process can be time-consuming.

The proposed solution used AI to:

  • Generate an initial care plan based on consultation details

  • Allow clinicians to review, edit, and approve the plan

  • Deliver a clear, digestible aftercare plan to patients

Clinicians responded very positively to this concept, as it could significantly reduce post-consultation workload.

Impact

The redesigned consultation flow improved both patient preparation and clinician efficiency.

Key outcomes included:

  • Reduced administrative workload for clinicians

  • Higher rates of patient information completion before consultations

  • Improved consultation completion rates

  • Faster consultation turnaround

  • Shorter wait times for patients

Clinicians were particularly enthusiastic about the new flow, as it allowed them to spend more time providing care rather than collecting administrative details.

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©

2026

Selected works / Raz

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