Find the right patients
Extract codes from notes, referrals, and historical records, then make inclusion and exclusion criteria queryable on a shared FHIR timeline.
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.
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 timelineLongitudinal data sets are most useful when the data is labelled and tagged with standard terms, which can be traced across years of patient records.
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.
Extract codes from notes, referrals, and historical records, then make inclusion and exclusion criteria queryable on a shared FHIR timeline.
Standard terms from narrative and semi-structured sources become longitudinal FHIR data your applications can filter, join, and audit.
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.
Construe extracts standard codes from narrative and semi-structured records, retaining the terms and source evidence behind every data point.
Everything resolves to FHIR on a patient timeline, including codes, labs, medications, and encounters, so data stays connected across years of care.
Deterministic extraction makes each cohort build repeatable, while source citations let reviewers trace every coded fact back to its originating record.