Cardiology registries and outcomes studies

From post-marketing registries to controlled trials, with comorbidity capture, medication tracking, and long-term follow-up.

Common pain points

  • Multiple sources (imaging, labs, EHR) hard to unify
  • 1-5 year follow-up with data loss from no automation
  • Comorbidities often poorly structured

How Trialinx fits

Repeat forms and long visits

Auto scheduling with alerts for 1/3/6/12-month visits + tolerance windows.

Calculated fields

Compute risk scores (CHA2DS2-VASc, HAS-BLED) inside the CRF — no manual math.

Survival-analysis-ready exports

Export ready for Kaplan-Meier, Cox PH, survival models in R / Python.

Relevant features

Does it fit?

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