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The COVID-19 Trial Finder

  • Yingcheng Sun
  • , Alex Butler
  • , Fengyang Lin
  • , Hao Liu
  • , Latoya A. Stewart
  • , Jae Hyun Kim
  • , Betina Ross S. Idnay
  • , Qingyin Ge
  • , Xinyi Wei
  • , Cong Liu
  • , Chi Yuan
  • , Chunhua Weng*
  • *Corresponding author for this work
  • Columbia University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Clinical trials are the gold standard for generating reliable medical evidence. The biggest bottleneck in clinical trials is recruitment. To facilitate recruitment, tools for patient search of relevant clinical trials have been developed, but users often suffer from information overload. With nearly 700 coronavirus disease 2019 (COVID-19) trials conducted in the United States as of August 2020, it is imperative to enable rapid recruitment to these studies. The COVID-19 Trial Finder was designed to facilitate patient-centered search of COVID-19 trials, first by location and radius distance from trial sites, and then by brief, dynamically generated medical questions to allow users to prescreen their eligibility for nearby COVID-19 trials with minimum human computer interaction. A simulation study using 20 publicly available patient case reports demonstrates its precision and effectiveness.

Original languageEnglish
Pages (from-to)616-621
Number of pages6
JournalJournal of the American Medical Informatics Association
Volume28
Issue number3
DOIs
StatePublished - 2021.03.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • clinical trial
  • COVID-19
  • eligibility criteria
  • information filtering
  • questionnaire
  • web application

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