A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics

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Publication Type pre-print
School or College School of Medicine
Department Biomedical Informatics
Creator Narus, Scott P.
Other Author He, Shan; Facelli, Julio C.; Lau, Lee Min; Botkin, Jefferey R.; Hurdle, John F.
Title A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics
Date 2014-01-01
Description Institutional Review Boards (IRBs) are a critical component of clinical research and can become a significant bottleneck due to the dramatic increase, in both volume and complexity of clinical research. Despite the interest in developing clinical research informatics (CRI) systems and supporting data standards to increase clinical research efficiency and interoperability, informatics research in the IRB domain has not attracted much attention in the scientific community. The lack of standardized and structured application forms across different IRBs causes inefficient and inconsistent proposal reviews and cumbersome workflows. These issues are even more prominent in multi-institutional clinical research that is rapidly becoming the norm. This paper proposes and evaluates a domain analysis model for electronic IRB (eIRB) systems, paving the way for streamlined clinical research workflow via integration with other CRI systems and improved IRB application throughput via computer-assisted decision support.
Type Text
Publisher Elsevier
Language eng
Bibliographic Citation He, S., Narus, S. P., Facelli, J. C., Lau, L. M., Botkin, J. R., & Hurdle, J. F. (2014). A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics. Journal of Biomedical Informatics.
Rights Management (c) Elsevier ; Authors manuscript from He, S., Narus, S. P., Facelli, J. C., Lau, L. M., Botkin, J. R., & Hurdle, J. F. (2014). A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics. Journal of Biomedical Informatics. http://dx.doi.org/10.1016/j.jbi.2014.05.003.
Format Medium application/pdf
Format Extent 2,042,383 bytes
Identifier uspace,18772
ARK ark:/87278/s6gx7mns
Setname ir_uspace
Date Created 2014-08-12
Date Modified 2014-08-12
ID 712630
Reference URL https://collections.lib.utah.edu/ark:/87278/s6gx7mns
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