Conceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflow

In this work, we present a conceptual framework to support clinical trial optimization and enrollment workflows and review the current state, limitations, and future trends in this space. This framework includes knowledge representation of clinical trials, clinical trial optimization, clinical trial...

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Detalles Bibliográficos
Autores principales: Jain, Neha M., Culley, Alison, Knoop, Teresa, Micheel, Christine, Osterman, Travis, Levy, Mia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2019
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873934/
https://www.ncbi.nlm.nih.gov/pubmed/31225983
http://dx.doi.org/10.1200/CCI.19.00033
Descripción
Sumario:In this work, we present a conceptual framework to support clinical trial optimization and enrollment workflows and review the current state, limitations, and future trends in this space. This framework includes knowledge representation of clinical trials, clinical trial optimization, clinical trial design, enrollment workflows for prospective clinical trial matching, waitlist management, and, finally, evaluation strategies for assessing improvement.

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