Using Computable Phenotypes in Point-of-Care Clinical Trial Recruitment

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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Abstract

A key challenge in point-of-care clinical trial recruitment is to autonomously identify eligible patients on presentation. Similarly, the aim of computable phenotyping is to identify those individuals within a population that exhibit a certain condition. This synergy creates an opportunity to leverage phenotypes in identifying eligible patients for clinical trials. To investigate the feasibility of this approach, we use the Transform clinical trial platform and replace its archetype-based eligibility criteria mechanism with a computable phenotype execution microservice. Utilising a phenotype for acute otitis media with discharge (AOMd) created with the Phenoflow platform, we compare the performance of Transform with and without the use of phenotype-based eligibility criteria when recruiting AOMd patients. The parameters of the trial simulated are based on those of the REST clinical trial, conducted in UK primary care.

Original languageEnglish
Title of host publicationPublic Health and Informatics - Proceedings of MIE 2021
Subtitle of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Pages560-564
Number of pages5
Volume281
DOIs
Publication statusPublished - 1 Jul 2021

Publication series

NameStudies in health technology and informatics

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