Clinical editorial redesign

Turn routine health inputs into a readable risk atlas.

HealthRisk Atlas is designed like a clinical briefing board: structured intake on one side, composite interpretation in the center, and longitudinal comparison close at hand.

Start Assessment Review History

Coverage

3 streams

Diabetes, heart disease, and stroke in one pass.

Lead signal

1 composite

A single severity readout keeps triage readable.

Workflow

Assess to compare

Each route now supports the same collect, interpret, revisit rhythm.

Signal board

What the workspace helps you see quickly

The redesign pulls the product away from generic dashboard clutter and toward one consistent interpretation model.

Diabetes

Lab markers and metabolic screening stay visible without overwhelming the intake flow.

Heart disease

Blood pressure, history, and lipid context are framed as one cardiovascular story.

Stroke

Lifestyle and vascular indicators are kept adjacent so risk drivers are easier to scan.

UX principle

The interface always answers three questions in order: what data matters, what score leads, and what the user should review next.

Workflow

A calmer path from intake to interpretation

Each route follows the same cognitive pattern so users do not have to relearn the product as they move between screens.

Capture the context

Age, body composition, vitals, labs, and lifestyle build the baseline signal.

Score the risk

The platform translates your data into disease-specific and composite risk outputs.

Act on the pattern

Use the results and history screens to spot changes, blind spots, and next steps.

Three-risk view

Track diabetes, heart disease, and stroke from one structured assessment.

Composite scoring

Blend disease-specific outputs into one actionable severity snapshot.

History-ready workflow

Run assessments, revisit past predictions, and compare changes over time.

Clinical caution

Decision support stays prominent

This product is for early signal review and structured discussion. It is not written like a consumer wellness app because the output still needs clinical judgment.

Important

Composite and disease-specific scores should be interpreted with symptoms, active treatment, recent labs, and professional follow-up.

Composite score leads the page so users always know the overall severity first.

Risk factors and history are kept near actions so interpretation does not become abstract.

Pages use repeated section patterns to reduce orientation cost.

Tables collapse into cards cleanly on mobile instead of forcing cramped layouts.

What the app emphasizes

Readable outputs over dashboard clutter

Assessment pages use progressive sections so users stay oriented.

Results make the composite score the lead signal while preserving disease detail.

History is wired to the live backend so repeated assessments are actually visible.

Analytics and about pages now fit the same visual system instead of feeling separate.