Custom Healthcare Analytics: When Standard Reports Don't Fit Your Workflow

Custom analytics in Vizier means custom measure definitions, query templates, threshold configurations, and alert rules — not building software from scratch. The Vizier platform handles the data infrastructure; The Algorithm's team handles the clinical and operational logic that defines what you're measuring and how.

This distinction matters for timelines. A custom measure definition — specifying the denominator, numerator, exclusion criteria, and benchmark comparison — takes days to develop and validate, not months. The underlying data infrastructure is already built; we're configuring the logic layer.

All custom configurations are documented in plain language — not in code — so your team can understand what's being measured, validate that the definition matches your intent, and maintain the logic as your reporting requirements evolve.

The documentation deliverable is often undervalued until the consultant who configured the system leaves the organization and nobody knows how the measure was defined. We document every custom configuration in terms your team can read, validate, and maintain — regardless of their technical background.

Testing against historical data is required, not optional. A custom measure that produces plausible-looking results isn't validated — it's guessed. We run every custom measure against at least three months of historical data and reconcile against any source system data you have available before calling it complete.

Custom development takes five weeks from initial requirements gathering to delivery and training. The biggest risk to timeline is unclear requirements at the start — organizations that come to requirements gathering with specific questions and examples move faster than those who need to define what they're measuring during the requirements process.