Solutions · Real-world evidence

The evidence
was in the records
the whole time.

Construct longitudinal datasets from patient charts, including the narratives. Construe extracts standard codes and keeps them traced across years of patient records, so every cohort starts with evidence you can inspect.

● ● ●One patient · 9 years · 5 specialties● FHIR0 codes extracted
The source record
Every code stays traceable to the note it came from, across all five specialties.
● Coded, cohort-ready longitudinal record

Five standardized codes, traced across nine years of care, make this patient's history ready for a defined cohort, with the source evidence retained for review.

extracted as standard codes by Construe · written to a FHIR timeline
Why longitudinal data matters

Longitudinal data sets are most useful when the data is labelled and tagged with standard terms, which can be traced across years of patient records.

Build quality datasets

Datasets your users can trust.

Patient cohort identification, genomic-care platforms, and evidence teams all run on the same primitive: codes extracted from narrative, kept on a longitudinal FHIR timeline.

If you identify cohorts

Find the right patients

Extract codes from notes, referrals, and historical records, then make inclusion and exclusion criteria queryable on a shared FHIR timeline.

If you build data products

Make every record analysis-ready

Standard terms from narrative and semi-structured sources become longitudinal FHIR data your applications can filter, join, and audit.

If you generate evidence

Reproduce the dataset

Build fit-for-purpose cohorts from years of care. Source-linked code extraction makes every run reviewable, repeatable, and ready for regulatory-grade evidence workflows.

Why it holds up

Built for reproducible research.

01

Standard terminology, applied consistently

Construe extracts standard codes from narrative and semi-structured records, retaining the terms and source evidence behind every data point.

02

Longitudinal by construction

Everything resolves to FHIR on a patient timeline, including codes, labs, medications, and encounters, so data stays connected across years of care.

03

Reproducible, reviewable datasets

Deterministic extraction makes each cohort build repeatable, while source citations let reviewers trace every coded fact back to its originating record.

Ready to build something phenomenal?