Build a Custom Health Dashboard from Labs, Genetics, and Wearables

Define the first useful dashboard state

Decide whether the dashboard is a reporting surface or an evolving workspace. A workspace needs source freshness, modality coverage, trends, priorities, and a path from data to the next appropriate action. It must also work for someone who has only one modality connected.

Build from source import to a versioned render contract

Build cards from a stable contract: title, value, unit, target policy, status, confidence, summary, action, and source. Render direct labs and derived calculations differently. Include a visible date and explain why a card is stale or unavailable.

Separate visual design from health logic. When the backend returns sections, card IDs, data coverage, and design tokens, the product can evolve its interface while preserving the meaning and provenance of each marker.

An end-to-end implementation path

Create the user and organization boundary, import one representative source, run analysis, read the dashboard specification, and render sections and cards. Add a private expiring share link only after the authenticated experience works. Test the same flow with missing and partial data.

Use stable card identifiers and a design-system token layer. The server can return information architecture, values, statuses, sources, and actions. The client controls typography, layout, interaction, and product-specific language.

Contract fields that prevent redesign later

Include schema version, analysis ID, generated time, modality coverage, freshness, sections, cards, source references, confidence, status policy, and actions. Cards should support direct values, derived values, trends, text, and states for missing or processing data.

Keep access and deletion independent of rendering. A private link should expire and be revocable. Deleting a source should update or invalidate downstream dashboard content according to policy.

• Version and generated time
• Coverage and freshness by modality
• Sections and stable card IDs
• Source and analysis references
• Actions with rationale and boundaries

Dashboard integration test

• One data source creates a coherent first dashboard
• The client can restyle without changing health logic
• Every card reveals its source
• Missing and processing states render cleanly
• Private links expire and revoke
• Deletion updates all downstream views

Use a renderer-neutral dashboard specification

WellNizz returns renderer-neutral dashboard specifications with cards, scores, sections, visualization hints, provenance, coverage, freshness, and quality warnings. Teams can combine lab, genetics, wearable, and health-context sources in one view while keeping the original modality boundaries visible.

Preserve consent and lifecycle controls

A dashboard is not a medical device just because it looks clinical. Avoid unsupported risk scores, label wellness context accurately, and make high-stakes follow-up routes clear.