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A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics
Shan He1, Scott P Narus2, Julio C Facelli1
1Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Institutional Review Boards (IRBs) face bottlenecks due to increasing research complexity. This study proposes an electronic IRB (eIRB) model to streamline workflows and improve review efficiency through informatics integration and decision support.
Area of Science:
- Clinical Research Informatics
- Health Informatics
- Regulatory Science
Background:
- Institutional Review Boards (IRBs) are crucial for clinical research oversight.
- Increasing research volume and complexity create significant bottlenecks in IRB processes.
- Lack of standardized forms across IRBs leads to inefficient reviews and workflows, especially in multi-institutional studies.
Purpose of the Study:
- To address the lack of informatics research in the IRB domain.
- To propose and evaluate a domain analysis model for electronic IRB (eIRB) systems.
- To enhance clinical research efficiency and interoperability through improved IRB workflows.
Main Methods:
- Development of a domain analysis model for eIRB systems.
- Evaluation of the proposed model's potential for streamlining workflows.
- Focus on integration with Clinical Research Informatics (CRI) systems.
Main Results:
- The proposed eIRB model facilitates integration with other CRI systems.
- The model supports computer-assisted decision support for improved IRB application throughput.
- Potential for more efficient and consistent proposal reviews.
Conclusions:
- The developed eIRB domain analysis model offers a pathway to overcome IRB bottlenecks.
- Integration with CRI systems and decision support can significantly improve clinical research efficiency.
- This work lays the foundation for advancing informatics in IRB operations.
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