Centralized clinical research operations reporting for a multi-network, multi-study research program: The NHLBI COVID-19 CONNECTS experience
Kayla Nowak, Sean Hanlon, Jeanette Auman, Heather Meier, Katherine Asman, Tracy Nolen

TL;DR
This paper describes a centralized reporting system developed to coordinate multiple clinical studies during the COVID-19 pandemic, which proved effective and adaptable for large-scale research efforts.
Contribution
The paper introduces a novel centralized reporting infrastructure for multi-network clinical research, specifically tailored for rapid and transparent coordination during public health emergencies.
Findings
A web-based platform was successfully used to coordinate and report on multiple clinical studies across diverse networks during the pandemic.
The system supported real-time tracking of enrollment, site coverage, and financial metrics, adapting to changing needs over three years.
The approach demonstrated scalability and efficiency, offering a model for future large-scale public health research programs.
Abstract
The Collaborating Network of Networks for Evaluating COVID-19 and Therapeutic Strategies (CONNECTS) was a novel network of networks created in response to the COVID-19 pandemic. This program brought together a large matrix of clinical research networks to swiftly design and/or implement concurrent clinical studies. Successful coordination of this large-scale collaboration required innovative solutions for timely and transparent centralized operations reporting. As the Administrative Coordinating Center (ACC) for CONNECTS, RTI International developed and maintained a web-based infrastructure that served as the central communication and reporting hub. This single-platform approach provided a robust collection of key topics to support daily operational oversight (e.g., enrollment and retention, site coverage, study milestones, financial tracking). Underlying data acquisition,…
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Taxonomy
TopicsSARS-CoV-2 detection and testing · COVID-19 Clinical Research Studies · COVID-19 epidemiological studies
