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Related Experiment Video

Updated: Mar 26, 2026

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
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IRB reliance: An informatics approach.

Jihad S Obeid1, Randall W Alexander1, Stephanie M Gentilin1

  • 1Medical University of South Carolina, Charleston, SC, USA.

Journal of Biomedical Informatics
|February 2, 2016
PubMed
Summary

Streamlining multi-site clinical research reviews, a shared platform harmonized Institutional Review Board (IRB) application data and workflows across five institutions. This cooperative approach improved efficiency and laid groundwork for broader reliance in translational research.

Keywords:
Clinical researchData modelIRBInformaticsRelianceWorkflow

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Area of Science:

  • Health Services Research
  • Clinical Research Administration
  • Health Informatics

Background:

  • Multi-site Institutional Review Board (IRB) reviews are critical for clinical research but are often complex and delayed by incompatible systems.
  • Disparate, non-interoperable systems hinder efficient management of IRB applications across multiple institutions.

Purpose of the Study:

  • To harmonize IRB application workflows and data models through a shared Software-as-a-Service (SaaS) platform.
  • To facilitate cooperative IRB reviews and enhance inter-institutional reliance for clinical research projects.

Main Methods:

  • Development of a shared IRB platform integrating five institutions in South Carolina.
  • Identification and harmonization of a core data model for IRB applications, accommodating institutional commonalities and differences.
  • Modification of the system to support collaborative reviews within existing IRB workflows.

Main Results:

  • Approximately 80% of IRB application content was harmonized across participating institutions.
  • A foundation for streamlined cooperative review and reliance was established.
  • Since 2011, 49 applications underwent cooperative reviews over three years, with most involving two institutions.

Conclusions:

  • The developed shared IRB platform demonstrates the feasibility of harmonizing IRB processes and data.
  • This initiative provides a model for a common IRB data model, enabling interoperability and promoting reliance.
  • The findings support a federated approach to sharing IRB reviews, crucial for advancing translational research.