Summary
This paper describes the development and validation of a service line by the Recruitment Innovation Center to streamline the identification of suitable sites for multicenter clinical trials using electronic health records. Working with CTSA hubs nationwide, the RIC created a standardised, low-burden process involving computable phenotype algorithms to estimate study population availability across institutions. The resulting model demonstrated efficiency and reproducibility, with potential for replication across other research networks.
UK applicability
The methodology may be adaptable to NHS settings where EHR systems are increasingly standardised, though the approach would require alignment with UK data governance frameworks and NHS institutional structures rather than the US CTSA network model.
Key measures
Number of phenotype-dependent cohort requests processed (36), response rate to requests (73%), feasibility and efficiency of the EHR cohort assessment process
Outcomes reported
The study reported the development and field-testing of a service line to retrieve study population estimates from electronic health record (EHR) systems for identifying suitable enrollment sites in multicenter clinical trials. The RIC processed 36 phenotype-dependent cohort requests between 2017 and 2020, achieving an average response rate of 73% across CTSA hubs.
Topic tags
Dig deeper with Pulse AI.
Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.