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

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

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

Author(s) -

Neha Jain,

Alison Culley,

Teresa Knoop,

Christine Micheel,

Travis Osterman,

Mia Levy

Publication year - 2019

Publication title -

jco clinical cancer informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.188

H-Index - 12

ISSN - 2473-4276

DOI - 10.1200/cci.19.00033

Subject(s) - workflow , clinical trial , matching (statistics) , conceptual framework , computer science , medicine , medical physics , sociology , pathology , social science , database

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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