The redesigned Healius Request inbox open on a laptop on a desk, beside a vase with a white flower, a notebook, a pen and a Healius-branded mug.
Role
UX + UI Design, Visual Design, Design Systems Governance, Interaction Design, User Research, Prototyping & Clinical Evaluation
Tools
Figma, FigJam, Zoom
Users
Clinical operators across labs and diagnostics

Overview

I led the redesign of the Request Management dashboard for one of Australia's leading healthcare providers, unifying six disjointed clinical brand workflows into one platform. I built it on a governed, accessible design system that cut design-to-development handoff time by 50%.

As the sole Australia-based UX/UI Designer at Neuronimbus, I was a primary design lead on the Healius account. Clinical operators across labs and diagnostics were working inside legacy systems that demanded heavy manual tracking, buried patient data in dense tables, and fell short of WCAG 2.2. That was a real problem during long, high-pressure shifts.

Impact

Challenge

Healius runs one of Australia's largest networks of pathology laboratories, collection centres and diagnostic imaging centres, in a sector already strained by rising demand, workforce shortages and staff burnout, with more waves of pressure expected after the pandemic. More efficient systems weren't a nice-to-have.

Clinical professionals needed one place to track patient booking requests and manage clinical workflows, but each brand ran its own system.

The platform also had to flex across very different clinical settings, from fast-paced diagnostic labs to other clinical services, without losing consistency or compliance.

How might we turn every referral into a booked appointment without clinical staff typing, calling or searching twice?

Objective

  • Bring each referral's details, patient preferences and bookings into one view.
  • Cut the manual data entry and repeat phone calls behind every booking.
  • Meet WCAG 2.2 AA, so the platform holds up through long, high-pressure shifts.

Researching the problem space

Rather than broad market research, discovery here was driven by close internal collaboration with a dedicated Clinical Specialist Adviser, mapping exact clinical realities, regulatory guardrails, and operational needs from day one:

A radiology reading room. Photo: Wikimedia Commons, public domain.

What I found

Synthesising the workflow maps and guardrails with the Clinical Specialist Adviser surfaced four core issues:

Rigid scheduling

Inflexible fields and steps that didn't match how scheduling actually happens in a clinical setting, eating into time that should go to patient care

Fragmented booking

Request details, patient preferences, and appointment details scattered across the workflow instead of living in one place

Buried data

Critical patient records sat in dense, text-heavy tables when they needed to be scannable at a glance

Manual, disconnected processes

The existing eReferral software, Medicalis, relied on manual referral setup, gave little visibility of individual sites, and meant patient appointments and calls were handled twice

None of these issues were minor on their own, and together they compounded fatigue across a full shift.

Building user empathy

The people at the centre of this work were the clerical and booking staff who turn a doctor's referral into a booked appointment. Before eReferrals, that started with a paper form, and every step after it was manual: reading the referral, typing it into the system, then calling the patient to find a time. Mapping that journey with the Clinical Specialist Adviser showed where time, accuracy and patience ran out.

Dana, a proto-persona of a booking officer.
Read the persona as text

Dana, Booking Officer, diagnostic imaging clinic

“I'm typing the same details twice, then chasing the patient on the phone to book a time that might not suit.”

About her
  • Works the front desk and phones at a busy imaging clinic
  • Handles dozens of referrals a shift, many on paper
  • Often books patients while they wait in front of her
Goals
  • Book each patient into the right test, quickly and accurately
  • Keep the waiting room moving
  • Never lose a referral
Frustrations
  • Handwriting on paper referrals she has to decipher
  • Re-keying every detail from paper into Medicalis
  • Rigid booking fields that don't match how scheduling really works
  • Calling patients more than once to find a time
  • No view of other sites' availability
What she needs from the redesign
  • Referral details in one place, already filled in
  • Patient availability up front
  • A scannable list of what's waiting and what's ready to book
A paper referral's journey, before eReferrals.
Read the journey map as text
1. Referral arrives

Doing: takes a paper form from the patient, or a fax. Thinking: “What does this say?” Feeling: neutral. Pain point: unclear handwriting, missing details. Opportunity: a digital eReferral, captured at the source.

2. Data entry

Doing: retypes the referral into Medicalis. Thinking: “I'm typing this all again.” Feeling: frustrated. Pain point: manual setup, typos, double handling. Opportunity: Request Details, already filled in.

3. Finding a time

Doing: phones the patient, leaves voicemails. Thinking: “They still haven't called back.” Feeling: the lowest point. Pain point: calls handled twice, rigid booking fields. Opportunity: the patient sends their availability by SMS link.

4. Booking

Doing: books a slot, checking sites one by one. Thinking: “Is there a slot at another site?” Feeling: strained. Pain point: little visibility of other sites. Opportunity: a Request Inbox with a Ready to book filter.

5. Confirmation

Doing: calls or posts the confirmation. Thinking: “Same again for the next patient.” Feeling: relieved, but tired. Pain point: repeat work for every patient. Opportunity: an automatic SMS confirmation.

Design & Prototype

I redesigned data entry and the scheduling flow around real clinical practice, cutting form fields that had nothing to do with clinical work.

Booking got its own fix: request details, patient preferences, and appointment scheduling now live in a single workspace, so clinicians aren't hunting across screens to book an appointment. The confirmation flow keeps patients informed and in control at every step:

The booking confirmation flow end to end, from staff creating a booking to the patient opening their confirmation.
The patient's entry point: an SMS link into a secure, verified eReferral.
Clear error recovery and a help panel before the patient ever gets stuck.
Step 1 of 4: choosing a location, with progress always visible.
Flexible date and time preferences, replacing the old rigid scheduling fields.

For the data fragmentation problem, I restructured the layout hierarchy so information and active workflows sit together in the main view.

Underneath all of it sits a governed design system of reusable input states, tables and alert banners, with accessibility built in throughout, including a colour palette exceeding WCAG 2.2 AA and a Roboto typographic scale tuned for split-second, accurate scanning.

Accessibility needs (wheelchair access, an interpreter, hearing or vision impairment) are a first-class part of the booking flow, not an afterthought.

Test & Iterate

This role was specific in scope: rather than spending time and budget on user testing, I validated the designs through close consultation with Healius's Clinical Specialist Adviser, who checked each workflow against how clinical teams really work.

Project Reflection

Outcome

The redesigned dashboard reduced cognitive load and administrative friction for clinical staff, and gave six brands one coherent, accessible platform that holds up in every clinical setting. It also kicked off the first phase of a wider transformation project, focused on better communication between the people and systems involved.

What's next?

Unfortunately, my tenure with Healius came to an abrupt end, so I wasn't able to see the designs through implementation with engineering, or measure their results. If I took the work further, I'd:

Project takeaways

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