CriteriaMapper: establishing the automatic identification of clinical trial cohorts from electronic health records by matching normalized eligibility criteria and patient clinical characteristics.

K Lee¹, Y Mai², Z Liu², K Raja², T Jun², M Ma², T Wang², L Ai², E Calay², W Oh^2,3, E Schadt^2,3, X Wang⁴

¹GeneDx (Sema4), 333 Ludlow Street, Stamford, CT, 06902, USA. kyeryoung.lee@gmail.com.

²GeneDx (Sema4), 333 Ludlow Street, Stamford, CT, 06902, USA.

³Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA.

⁴GeneDx (Sema4), 333 Ludlow Street, Stamford, CT, 06902, USA. xw108@caa.columbia.edu.

PubMed PMC DOI PDF

Abstract

The use of electronic health records (EHRs) holds the potential to enhance clinical trial activities. However, the identification of eligible patients within EHRs presents considerable challenges. We aimed to develop a CriteriaMapper system for phenotyping eligibility criteria, enabling the identification of patients from EHRs with clinical characteristics that match those criteria. We utilized cl…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.