Symetrique Decision-Grade Evidence

Not a registry. Patient intelligence.

Classical patient registries collect data. Symetrique patient intelligence programs build something different — a living, consented cohort of real patients, telling their real story, over time. The result is a data asset that compounds in value long after the study closes.

Patient Intelligence vs. Classical Registries

A modern, patient-owned approach to real-world evidence that outperforms the classical registry model.

Classical Patient Registry

  • Patients enrolled at clinical sites only
  • Data entered by site coordinators
  • Narrow consent — study use only
  • Cohort goes dark when study closes
  • Sponsor owns data, patient has no visibility
  • High attrition — no reason to stay engaged
  • Misses community-treated patients

Symetrique Patient Intelligence

  • Patients enroll directly via advocacy orgs & portal
  • Data flows from the patient — continuous & real-time
  • Broad consent — longitudinal, multi-purpose use
  • Cohort stays active indefinitely after study close
  • Patient owns their data, controls what is shared
  • High retention — portal delivers ongoing health value
  • Captures the full real-world patient population

Three Things That Make This Different

1

The patient owns the data.

Every data point is explicitly consented. Patients choose what to contribute, in what form, and for how long — and can update that consent at any time through the patient portal.

Patient-authorized data is more trusted by regulators, more credible with payers, and more defensible in publication than data extracted from a coordinator's form.

2

Recruited from the real world.

Classical registries over-represent academic medical center patients. Symetrique programs recruit through patient advocacy organizations — so the cohort reflects the community-treated majority, not just the academic tier.

Every downstream analysis is more credible: market sizing, treatment patterns, trial feasibility, and outcomes research.

3

Continuous journey data, not snapshots.

Because patients engage with the portal continuously — not just at clinic visits — the data captures what happens between appointments: symptoms, adherence, quality of life, and medication changes that never make it into an EHR.

This is the layer of data that payers increasingly require and that no claims database can provide.

What a Long-Lived Cohort Enables

Year 1

Natural history and baseline population characterization

Year 2–3

Treatment pattern analysis, PRO trends, and care gap identification

Year 3+

Longitudinal outcome tracking, trial pre-screening, and competitive displacement analysis

Ready to build a patient intelligence program?

Talk to us about your disease area, your evidence question, and your timeline. We will tell you what is feasible, what it costs, and what the data asset will look like in year one, year three, and beyond.