What we do
Aggregate synthetic regional data into a single narrative so planning teams can align on cost, risk, and capacity signals.
MolecuraDx
Population analytics for regional care planning
Who we are
MolecuraDx is a fictional analytics studio focused on surfacing population trends for regional care leaders. We model synthetic cohorts to explore cost patterns, service strain, and program impact in a consistent, auditable way.
Focus areas
Built for clarity: every chart shows history versus forecast with labeled units, and every synthetic metric is linked back to documented assumptions.
Aggregate synthetic regional data into a single narrative so planning teams can align on cost, risk, and capacity signals.
Translate clinical guidance into standardized measurement ranges and frequencies, then simulate cohort behavior for scenario testing.
We document data sources, assumptions, and limitations. No diagnoses, no treatments, and no real patient information.
Methodology
Our workflow keeps synthetic cohorts consistent across regions while leaving room for local program design.
01
Collect
Define measurement cadence and thresholds.
02
Simulate
Generate deterministic cohorts with seed control.
03
Forecast
Layer simple linear projections on key metrics.
04
Review
Surface assumptions alongside every metric.
For Regions
Select a region to review clinics, patient counts, and cost benchmarks.
Clinics overview
| Clinic | # Patients | Cost / Patient | Projected Cost |
|---|
For clinics
Choose a region and clinic to review patient cohorts.
Condition
Type 2 diabetes
Category
Patients needing attention (0)
Patient list
Patient detail
For individuals
Select a synthetic patient profile to review their data view and actions.
Individual view