Industry: Healthcare
Healthcare QA services, proven on a clinical diagnostics platform
We took a medical platform analysing brain activity data from one manual tester with zero automation to 400+ structured test cases, daily reporting, and an automation framework already growing sprint over sprint — across both its web and iOS apps.
- Case studies
- 1 published
- Services used
- Manual Testing, API Testing, QA Audit
- Trial
- 60 hours, free
What we found
Patterns from one healthcare engagement
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One tester, no documentation, no automation
QA was one person running manual checks, with no automation behind them. Test documentation existed only for features already shipped, so nobody could tell what was actually covered — or catch a regression when new functionality went out. For a platform doctors rely on for diagnosis and treatment decisions, that was “a serious risk.”
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No way to tell what was actually covered
Documentation only existed for what had already shipped, so the moment new functionality went out there was no way to know what was covered or catch a regression before a user did. We built 400+ test cases from scratch — functional, regression, and exploratory — so every release has a real baseline to test against.
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Bugs with no lifecycle
Bugs moved from report to fix with no structure behind them — no systematic tracking, no consistent priority, nothing on a fixed escalation path. We formalised the defect lifecycle: structured reporting, clear priorities, and blocking or critical issues flagged as they’re found.
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Two platforms, one clinical-grade bar to hit
Web and iOS both ship into clinical settings where data accuracy and reliability are non-negotiable, but nothing held the two builds to the same standard. We built one cross-platform strategy — functional, UI/UX, and accessibility testing — applied consistently across both.
Where to start
The services this engagement actually used
Manual testing, API testing, and QA audits built this platform's coverage from the ground up. Automation groundwork is already underway, with coverage growing sprint by sprint.
Manual Testing
Human-led testing that catches what automation misses — UX issues, edge cases, and real-world flows.
Used on the healthcare engagement
API Testing
Full coverage of your endpoints, contracts, and integrations — before they break in production.
Used on the healthcare engagement
QA Audit
A complete health check of your quality processes, tooling, and team — with a clear action plan.
Used on the healthcare engagement
The proof
The healthcare case study
Diagnostic data feeding physician decisions raises the same trust question fast. See how we handle NDAs, access, and data.
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Ready to see this on your platform?
Start with a free 60-hour trial — the same foundation-first approach behind our healthcare engagement above, starting in 24–72 hours.