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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Lind
Lind

Lind

Founded 2023

Screen hospital patient records automatically to match eligible candidates with clinical trials

Pricing model

Demo

You can use Lind to automate clinical trial screening across entire health system patient populations. The system connects directly to electronic health records using FHIR standards to match patients with open clinical trials criterion by criterion. It analyzes unstructured chart data to identify eligible candidates, pulling verifiable evidence directly from medical notes. Research teams can audit match recommendations, while trial sponsors can model cohorts, assess patient density across hospital networks, and evaluate study protocols before opening enrollment to prevent study delays.

What Lind does

Screen patient records against active trial eligibility criteriaExtract clinical evidence directly from electronic health chartsFlag missing patient documentation required for trial confirmationModel patient cohort sizes across hospital networksRank clinical trial study sites by matching patient densityReview trial-arm level match scores within existing clinical workflowsAutomated patient screening across health system electronic health recordsCriterion-by-criterion eligibility evaluation with direct chart evidence linksNative FHIR connectivity across existing hospital electronic medical recordsReal-world patient density analytics for clinical trial site selectionCohort modeling to identify overly restrictive study inclusion criteriaExplainable audit trails that substantiate every matching decisionMulti-specialty coverage across oncology, dermatology, hematology, and neurology

Pricing breakdown

Pricing model: Book a demo

Frequently asked

FHIR, Epic (via FHIR), Oracle Health/Cerner (via FHIR), Meditech, ClinicalTrials.gov API

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Lind, clinical trial matching, patient screening, EHR screening, clinical research, oncology trials, FHIR integration, protocol modeling, clinical trial recruitment, medical chart review, real-world data, trial eligibility screening, electronic health records, study enrollment, medical oncology