Customer story — healthcare

Modernising automation and quality across a national estate

I-MED Radiology Network is Australia's largest diagnostic imaging provider. Across three engagements, Innovo modernised a legacy automation estate to the cloud, automated regression testing for a core clinical platform, and established enterprise-wide test-data obfuscation — each delivered on fixed, defensible terms with the resulting capability handed to I-MED's own teams.

7 weeks

Two processes plus shared framework migrated

137

Regression and test-data cases automated

Data sources under enterprise obfuscation

Client and industry context

I-MED Radiology Network runs a national network of clinics and hospital-based radiology services. Behind the clinical front line sits a substantial administrative operation — appointment management, scheduling, billing and reconciliation — processing high transaction volumes daily, alongside clinical platforms that sit directly in the patient-care pathway. Its systems carry patient identity, referral, imaging and billing data at national scale, under privacy obligations that apply with particular force to health information.

The challenge

I-MED had already invested in automation and quality tooling, but each area had reached a limit. A legacy robotic process automation (RPA) estate was trapped on ageing on-premise infrastructure and superseded versions; regression testing for the Visage clinical viewer was manual and had become a constraint on the release cycle; and non-production environments across the estate were populated with copies of production data — a standing privacy exposure for a healthcare provider.

Innovo's role

Innovo delivered three engagements, each scoped and priced up front and each ending with capability transferred to I-MED. In every case Innovo owned the engineering — extraction, upgrade, remediation, framework design, build and handover — while I-MED retained ownership of environments, acceptance and ongoing operation. The intended end state was consistent: I-MED running its own modernised, supported capability, not a dependency on Innovo to run it.

How it was delivered

Three engagements, one modernisation

1 · Automation cloud modernisation (RPA)

Migrating a legacy on-premise RPA estate to the cloud — described and delivered as conventional robotic process automation, not agentic work.

Two production processes (appointment handling and accounts-receivable reconciliation) plus the shared libraries and framework migrated from legacy on-premise UiPath to UiPath Cloud in seven weeks.
Each automation taken through a full software development lifecycle rather than a bulk lift-and-shift, with packages and code brought to current supported UiPath versions.
Personally identifiable data removed from automation queues, closing a privacy exposure rather than carrying it into the new environment.
All processes standardised onto the UiPath RE-Framework; the on-premise orchestration footprint eliminated with no new infrastructure required.
L1 support documentation and direct training transferred to I-MED staff.

2 · Clinical-platform regression automation

Automating the manual Visage regression suite as a durable, owned test-automation asset — test automation, not agentic delivery.

An automated regression suite covering 137 agreed test cases, graded by complexity (35 high, 30 medium, 45 low) plus 27 dedicated test-data-creation cases — automating the manufacture of preconditions, not only the assertions.
A reusable automation framework built in UiPath Test Suite, with execution reporting via UiPath Test Manager and scripts committed to I-MED's own repository.
Phased delivery across four development phases, so I-MED could execute and report on automated regression from the end of Phase 1 rather than waiting for full completion.

3 · Enterprise-wide data obfuscation

Establishing an enterprise test-data-management and obfuscation capability so non-production environments carry no exposed health data.

Enov8 Test Data Manager established across 25 data sources — treating the estate as one problem rather than twenty-five point solutions.
Cross-system masking consistency, so the same real identity maps to the same fictitious identity everywhere it appears and integration testing still works after obfuscation.
Referential integrity, realistic distributions and clinical plausibility preserved, so masked environments remain genuinely useful rather than merely safe.
Privacy-by-design in non-production — closing the exposure in the broadest, least-monitored part of the estate — delivered application-by-application through gated discovery, profiling, masking, validation and UAT.

Capabilities involved

What the work required

Legacy automation modernisation
Extracting, upgrading and re-platforming production RPA onto current, supported cloud infrastructure without standing up new on-premise capacity.
Framework-led test automation
Reusable automation frameworks — including automated generation of the data preconditions clinical workflows depend on — that internal teams can extend after handover.
Enterprise test-data management and obfuscation
Masking sensitive data consistently across many data sources while preserving referential integrity and usefulness for testing.
Privacy-by-design remediation
Clearing personally identifiable data from automation queues and non-production environments as part of delivery, not as an afterthought.
Capability transfer
Documentation and direct training so operational ownership moves with the code and the automation assets.

Delivery at a glance

Capabilities, platforms and engagement

Sector: Healthcare — diagnostic imaging
Pillars: AutomateAssure
Platforms used: UiPath Cloud (Cloud Orchestrator)
UiPath RE-Framework
UiPath Studio
UiPath Test Suite
Enov8 Test Data Manager
Visage
TestRail
Engagement model: Outcome-Based Delivery (fixed price, per process)

Measurable outcomes

What changed for the client

7 weeks: Two production processes plus the shared framework migrated to the cloud
137: Previously manual regression and test-data cases automated
25 sources: Enterprise test-data obfuscation established across the estate
PII removed: Personally identifiable data cleared from automation queues
No new infrastructure: On-premise automation footprint eliminated

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