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

Publication ,  Journal Article
He, S; Narus, SP; Facelli, JC; Lau, LM; Botkin, JR; Hurdle, JF
Published in: J Biomed Inform
December 2014

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.

Duke Scholars

Published In

J Biomed Inform

DOI

EISSN

1532-0480

Publication Date

December 2014

Volume

52

Start / End Page

121 / 129

Location

United States

Related Subject Headings

  • Models, Theoretical
  • Medical Informatics
  • Medical Informatics
  • Humans
  • Ethics Committees, Research
  • Biomedical Research
  • Biomedical Engineering
  • 4601 Applied computing
  • 4203 Health services and systems
  • 11 Medical and Health Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
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. J Biomed Inform, 52, 121–129. https://doi.org/10.1016/j.jbi.2014.05.003
He, Shan, Scott P. Narus, Julio C. Facelli, Lee Min Lau, Jefferey R. Botkin, and John F. Hurdle. “A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics.J Biomed Inform 52 (December 2014): 121–29. https://doi.org/10.1016/j.jbi.2014.05.003.
He S, Narus SP, Facelli JC, Lau LM, Botkin JR, Hurdle JF. A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics. J Biomed Inform. 2014 Dec;52:121–9.
He, Shan, et al. “A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics.J Biomed Inform, vol. 52, Dec. 2014, pp. 121–29. Pubmed, doi:10.1016/j.jbi.2014.05.003.
He S, Narus SP, Facelli JC, Lau LM, Botkin JR, Hurdle JF. A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics. J Biomed Inform. 2014 Dec;52:121–129.
Journal cover image

Published In

J Biomed Inform

DOI

EISSN

1532-0480

Publication Date

December 2014

Volume

52

Start / End Page

121 / 129

Location

United States

Related Subject Headings

  • Models, Theoretical
  • Medical Informatics
  • Medical Informatics
  • Humans
  • Ethics Committees, Research
  • Biomedical Research
  • Biomedical Engineering
  • 4601 Applied computing
  • 4203 Health services and systems
  • 11 Medical and Health Sciences