Evidence map›Paper›PMID 24929181›Full record

ArticleJournal of biomedical informatics2014

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

Shan He, Scott P Narus, Julio C Facelli, Lee Min Lau, Jefferey R Botkin, John F Hurdle

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. IRB reliance: An informatics approach.Journal of biomedical informatics · 2016
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shan HeDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: shan.he@utah.edu.
Scott P NarusDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; Intermountain Medical Center, Intermountain Healthcare, Murray, UT, USA.
Julio C FacelliDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Lee Min LauDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; 3M Health Information Systems, Murray, UT, USA.
Jefferey R BotkinDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
John F HurdleDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.

Funding

UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
University of Utah Center for Clinical and Translational Science-UL1UL1TR000105 · NCATS · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2012 to 2013
$5.1M
NCATS NIH HHS 8UL1TR000105NCATS NIH HHS UL1 TR000105NCRR NIH HHS UL1 RR025764
6 · The paper itself

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.

Indexed as

Biomedical ResearchEthics Committees, ResearchMedical InformaticsHumansModels, TheoreticalClinical research informaticsDomain analysis modelElectronic data processingElectronic IRBIRB

Identifiers

PMID24929181
PMCPMC4384433

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.