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Insights from the trial innovation network’s initial consultation process

Published online by Cambridge University Press:  26 June 2025

Paul A. Harris*
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
Nan Kennedy
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Consuelo H. Wilkins
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA. Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Department of Internal Medicine, Meharry Medical College, Nashville, TN, USA.
Karen Lane
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Gordon R. Bernard
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA. Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Jonathan D. Casey
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA. Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Daniel E. Ford
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA Johns Hopkins Institute for Clinical and Translational Research, Baltimore, MD, USA
Salina P. Waddy
Affiliation:
National Center for Advancing Translational Sciences, Bethesda, MD, USA
Ken L. Wiley Jr.
Affiliation:
National Center for Advancing Translational Sciences, Bethesda, MD, USA
Terri L. Edwards
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Nichol McBee
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Dixie D. Thompson
Affiliation:
University of Utah Health, Salt Lake City, UT, USA Utah Clinical & Translational Science Institute, Salt Lake City, UT, USA
Mary Stroud
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Emily S. Serdoz
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Sarah J. Nelson
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Michelle Jones
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Lindsay M. Eyzaguirre
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Leslie R. Boone
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Jessica Baird
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Colleen E. Lawrence
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Elizabeth Holthouse
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Sarah K. Cook
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Maeve Tischbein
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Natalya Amrine
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Tiffany Chen
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Jodie Cohen
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
LaShondra Deyampert
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Natalie A. Dilts
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Delicia Burts
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Amna Baig
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Joseph G. Christodoulou
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Mariela Rodriguez
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA.
Edgar R. Miller III
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
James F. Casella
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA Johns Hopkins Institute for Clinical and Translational Research, Baltimore, MD, USA
W. Andrew Mould
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
J. Michael Dean
Affiliation:
University of Utah Health, Salt Lake City, UT, USA
Daniel K. Benjamin
Affiliation:
Duke University School of Medicine, Durham, North Carolina, USA
Harry P. Selker
Affiliation:
Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA
Marisha E. Palm
Affiliation:
Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA
Lori Poole
Affiliation:
Duke Clinical Research Institute, Durham, NC, USA
Jeri S. Burr
Affiliation:
University of Utah Health, Salt Lake City, UT, USA
Sara Hassani
Affiliation:
National Center for Advancing Translational Sciences, Bethesda, MD, USA
Angeline Nanni
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Meghan Hildreth
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Daniel F. Hanley
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA Johns Hopkins Institute for Clinical and Translational Research, Baltimore, MD, USA
*
Corresponding author: P.A. Harris; Email: paul.a.harris@vumc.org
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Abstract

Multicenter clinical trials are essential for evaluating interventions but often face significant challenges in study design, site coordination, participant recruitment, and regulatory compliance. To address these issues, the National Institutes of Health’s National Center for Advancing Translational Sciences established the Trial Innovation Network (TIN). The TIN offers a scientific consultation process, providing access to clinical trial and disease experts who provide input and recommendations throughout the trial’s duration, at no cost to investigators. This approach aims to improve trial design, accelerate implementation, foster interdisciplinary teamwork, and spur innovations that enhance multicenter trial quality and efficiency. The TIN leverages resources of the Clinical and Translational Science Awards (CTSA) program, complementing local capabilities at the investigator’s institution. The Initial Consultation process focuses on the study’s scientific premise, design, site development, recruitment and retention strategies, funding feasibility, and other support areas. As of 6/1/2024, the TIN has provided 431 Initial Consultations to increase efficiency and accelerate trial implementation by delivering customized support and tailored recommendations. Across a range of clinical trials, the TIN has developed standardized, streamlined, and adaptable processes. We describe these processes, provide operational metrics, and include a set of lessons learned for consideration by other trial support and innovation networks.

Information

Type
Special Communication
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Association for Clinical and Translational Science
Figure 0

Figure 1. Trial Innovation Network partners, 2025. CTSA = Clinical and Translational Science Award.

Figure 1

Table 1. Initial Consultation – TIN roles and responsibilities

Figure 2

Table 2. Initial Consultation areas of innovative emphasis

Figure 3

Figure 2. TIN Initial Consultations metrics – distribution of institution funding/research activity classification and investigator roles. R1= research 1; R2 = research 2. *Based on the Carnegie Classification of Institutions of Higher Learning©.