| Literature DB >> 24929181 |
Shan He1, Scott P Narus2, Julio C Facelli3, Lee Min Lau4, Jefferey R Botkin3, John F Hurdle3.
Abstract
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.Entities:
Keywords: Clinical research informatics; Domain analysis model; Electronic IRB; Electronic data processing; IRB
Mesh：
Year: 2014 PMID： 24929181 PMCID： PMC4384433 DOI： 10.1016/j.jbi.2014.05.003
Source DB: PubMed Journal: J Biomed Inform ISSN： 1532-0464 Impact factor: 6.317