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

dc.contributor.authorJain, Neha M.
dc.contributor.authorCulley, Alison
dc.contributor.authorKnoop, Teresa
dc.contributor.authorMicheel, Christine
dc.contributor.authorOsterman, Travis
dc.contributor.authorLevy, Mia
dc.date.accessioned2020-05-02T14:24:28Z
dc.date.available2020-05-02T14:24:28Z
dc.date.issued2019-06-21
dc.description.abstractIn 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. (C) 2019 by American Society of Clinical Oncologyen_US
dc.description.departmentDepartment of Biomedical Informatics
dc.description.schoolSchool of Medicine
dc.description.sponsorshipFunded in part by Grant No. SAC160070 from the Susan G. Komen Foundation and National Human Genome Research Institute Grant No. U01-HG007253 from IGNITE. Supported by the Robert J. Kleberg Jr and Helen C. Kleberg Foundation and the T.J. Martell Foundation.en_US
dc.identifier.citationDOI: 10.1200/CCI.19.00033 JCO Clinical Cancer Informatics - published online June 21, 2019 PMID: 31225983en_US
dc.identifier.doi10.1200/CCI.19.00033
dc.identifier.issn2473-4276
dc.identifier.urihttp://hdl.handle.net/1803/9999
dc.language.isoen_USen_US
dc.publisherJCO CLINICAL CANCER INFORMATICSen_US
dc.relation.ispartofseriesDBMI Technical Reports;#
dc.rightsClin Cancer Inform. © 2019 by American Society of Clinical Oncology Licensed under the Creative Commons Attribution 4.0 License
dc.source.urihttps://ascopubs.org/doi/full/10.1200/CCI.19.00033
dc.titleConceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflowen_US
dc.typeArticleen_US
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