A maturity model for Clinical Trials Management Ecosystem
Shruti Sehgal, E. Chris Pua, Svetlana Rojevsky, Michael J. Becich, Joshua Fehrmann, Boyd M. Knosp, Adam Wilcox, Jeffery C. Talbert, Catherine K. Craven, Justin Starren

TL;DR
This paper introduces a maturity model to help institutions assess and improve their clinical trials management across 11 key areas.
Contribution
The novel contribution is a multi-axial maturity model for Clinical Trials Management Ecosystem (CTME) developed with expert collaboration.
Findings
The CTME maturity model includes 11 axes and five maturity levels for institutional self-assessment.
Study management and investigational product management showed the highest maturity levels.
Reporting analytics & dashboard had the lowest maturity according to self-assessments.
Abstract
Managing clinical trials is a complex process requiring careful integration of human, technology, compliance, and operations for success. We collaborated with experts to develop a multi-axial Clinical Trials Management Ecosystem (CTME) maturity model (MM) to help institutions identify best practices for CTME capabilities. A working group of research informaticists was established. An online session on maturity models was hosted, followed by a review of the candidate domain axes and finalization of the axes. Next, maturity level attributes were defined for min/max levels (level 1 and level 5) for each axis of the CTME MM, followed by the intermediate levels. A REDCap survey comprising the model’s statements was then created, and a subset of working group members tested the model by completing it at their respective institutions. The finalized survey was distributed to all working group…
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Taxonomy
TopicsHealth and Medical Research Impacts
