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

Neha M Jain; Alison Culley; Teresa Knoop; Christine Micheel; Travis Osterman; Mia Levy

doi:10.1200/CCI.19.00033

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

JCO Clin Cancer Inform. 2019 Jun:3:1-10. doi: 10.1200/CCI.19.00033.

Authors

Neha M Jain¹, Alison Culley¹, Teresa Knoop¹, Christine Micheel¹, Travis Osterman¹, Mia Levy^{1

2}

Affiliations

¹ Vanderbilt University Medical Center, Nashville, TN.
² Rush University Medical Center, Chicago, IL.

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.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Clinical Trials as Topic* / methods
Clinical Trials as Topic* / standards
Databases, Factual
Decision Support Systems, Clinical*
Humans
Medical Informatics / methods*
Natural Language Processing
Research Design
Software
Workflow

Grants and funding

U01 HG007253/HG/NHGRI NIH HHS/United States