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Healthcare Tech·
Why healthcare software needs boring engineering
Flashy demos rarely survive audits, uptime targets, or a pharmacist asking why a dose field accepts the wrong unit. Here is how we keep builds reviewable.
Healthcare products fail in quiet ways: ambiguous fields, weak audit trails, and APIs that leak more than they should. We bias toward explicit data models, narrow API surfaces, and testable workflows — the parts users never see but regulators and clinicians always care about.
When we scope a medical or pharma program, we start from workflows and failure modes, not feature lists. That keeps delivery predictable and reduces rework when the first real clinician sits in front of the build.