Automated system cuts clinical trial recruitment workload

Susan D. Hall | FierceEMR ( | 17 July 2014

Automated eligibility screening using natural language processing and machine learning vastly improved the efficiency of selecting potential patients for clinical trials in a study from Cincinnati Children’s Hospital Medical Center.

In the study, published at the Journal of the American Medical Informatics Association, researchers developed the automated system to identify potential patients for 13 disease-specific clinical trials in hopes of finding a more effective method than the time-consuming manual process of the past.

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