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

  • 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.”

  • 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.

  • 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.

  • 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.

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