Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models

BACKGROUND: To advance new therapies into clinical care, clinical trials must recruit enough participants. Yet, many trials fail to do so, leading to delays, early trial termination, and wasted resources. Under-enrolling trials make it impossible to draw conclusions about the efficacy of new therapi...

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Detalles Bibliográficos
Autores principales: Meystre, Stéphane M., Heider, Paul M., Cates, Andrew, Bastian, Grace, Pittman, Tara, Gentilin, Stephanie, Kelechi, Teresa J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088225/
https://www.ncbi.nlm.nih.gov/pubmed/37041475
http://dx.doi.org/10.1186/s12874-023-01916-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088225/
https://www.ncbi.nlm.nih.gov/pubmed/37041475
http://dx.doi.org/10.1186/s12874-023-01916-6

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