| dc.contributor.author | Jain, Neha M. | |
| dc.contributor.author | Culley, Alison | |
| dc.contributor.author | Knoop, Teresa | |
| dc.contributor.author | Micheel, Christine | |
| dc.contributor.author | Osterman, Travis | |
| dc.contributor.author | Levy, Mia | |
| dc.date.accessioned | 2020-05-02T14:24:28Z | |
| dc.date.available | 2020-05-02T14:24:28Z | |
| dc.date.issued | 2019-06-21 | |
| dc.identifier.citation | DOI: 10.1200/CCI.19.00033 JCO Clinical Cancer Informatics - published online June 21, 2019 PMID: 31225983 | en_US |
| dc.identifier.issn | 2473-4276 | |
| dc.identifier.uri | http://hdl.handle.net/1803/9999 | |
| dc.description.abstract | 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. (C) 2019 by American Society of Clinical Oncology | en_US |
| dc.description.sponsorship | Funded 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.language.iso | en_US | en_US |
| dc.publisher | JCO CLINICAL CANCER INFORMATICS | en_US |
| dc.relation.ispartofseries | DBMI Technical Reports;# | |
| dc.rights | Clin Cancer Inform. © 2019 by American Society of Clinical Oncology
Licensed under the Creative Commons Attribution 4.0 License | |
| dc.source.uri | https://ascopubs.org/doi/full/10.1200/CCI.19.00033 | |
| dc.title | Conceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflow | en_US |
| dc.type | Article | en_US |
| dc.description.school | School of Medicine | |
| dc.description.department | Department of Biomedical Informatics | |
| dc.identifier.doi | 10.1200/CCI.19.00033 | |
