Putting Tools in the Hands of Sites

The Research Resonance Network is a collaborative community of sites who are committed to the pursuit of excellence in clinical research operations. Tools available through the network assist sites with their continuous improvement, resource allocation, and study selection goals.

The Research Resonance Network is hosted by Forte Research Systems, Inc. as a service to the research community. Forte is dedicated to ensuring that sites have what they need to improve their own operations, and believes that site-based metrics are key to improving the clinical research industry as a whole. To create the most robust registry of site-based operational metrics available, participation is open to all academic research organizations, at no cost.

A History of Data-Driven Operational Excellence

Launched in early 2013, the network owes much of its success to the prior accomplishments of some of the nation's top research centers. Initiatives around collecting and analyzing site-based operational performance metrics have been conducted since 2006 by a group known as Onsemble, which is comprised of organizations who use Forte's OnCore® Enterprise Research system.

Timeline of Events Leading Up to the Site Metrics Platform

For years, it has been clear to the clinical research community that, in order to get the most benefit from performance metrics, the metrics must address the needs and operational workflows from the perspective of the sites.

Work began within the OnCore community in 2006. With the encouragement and support of Srini Kalluri, Founder, CEO and Chief Customer Officer at Forte, the initial projects were launched. These initiatives were spearheaded by Henry Durivage, PharmD, Associate Director for Regulatory Affairs and Clinical Research Systems at the Yale Center for Clinical Investigations and Kerry Bridges, MBA, RN, CCRC, Administrator at Indiana University Simon Cancer Center. Since then, the work has continued and more centers have participated, culminating in the Site Metrics Platform now available through the Research Resonance Network.

 Metrics community begins as part of the Onsemble community collaborations.
 Collaboration includes 8 participating institutions.
 Metrics community focuses on Effort Tracking, Resource Management, and Protocol Performance.
 Dr. Durivage & Kerry Bridges present a poster at ASCO Meeting "Clinical trial metrics: Protocol performance and resource utilization from 14 cancer centers". Download the poster.

Durivage HJ, Bridges KD: Clinical trial metrics: Protocol performance and resource utilization from 14 cancer centers. J Clin Oncol 27:337s, 2009 (suppl; abstr 6557).
 Onsemble Metrics collaborators establish initial Data Dictionary.
 Dr. Durivage and Kerry Bridges present a poster at ASCO Meeting "Protocol Performance Metrics and Resource Utilization of Phase II Investigator-Initiated Trials". Download the poster.

Durivage HJ, Bridges KD, Sauers J, et al: Protocol performance metrics and resource utilization of phase II investigator-initiated trials. J Clin Oncol 28:463s, 2010 (suppl; abstr 6066)
 Jan: Forte joins MCC as a Corporate Sponsor and Collaborator — Forte actively participates in MCC calls defining Business and Clinical Metrics Objectives and Key Data Points.
 Apr: Laura Youngquist, from Forte, authors, "Site-Driven Metrics," in March 2012 edition of Applied Clinical Trials.
 Jun: Data Dictionary is released to Onsemble Metrics collaborators.
 Aug: Article published in ACRP Monitor: "A Case for Site-Centric Operational Metrics," by Dr. Durivage & Srini Kalluri.

Durivage, HJ, Kalluri, S: A Case for Site-Centric Operational Metrics. The MONITOR. 26:4, 2012.
 Jan: MCC Phase I is completed for both Business & Clinical workgroups completing the workflow mapping.
 Feb: 20 participating institutions in the Onsemble Metrics collaboration.
 July: Live data available in the Site Metrics Platform on the Research Resonance Network.
 Best Practice Award WinnerFeb: Research Resonance Network wins Clinical Informatics News Best Practices Award for Clinical Data Intelligence.