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J Biomed Inform. 2016 Apr;60:84-94. doi: 10.1016/j.jbi.2015.12.019. Epub 2016 Jan 15.

The genomic CDS sandbox: An assessment among domain experts.

Author information

1
Medical University of South Carolina, Charleston, SC, United States. Electronic address: aziza@musc.edu.
2
University of Utah, Salt Lake City, UT, United States. Electronic address: kensaku.kawamoto@utah.edu.
3
University of Utah, Salt Lake City, UT, United States. Electronic address: keilbeck@genetics.utah.edu.
4
Geisinger Medical Center, Danville, PA, United States. Electronic address: mswilliams1@geisinger.edu.
5
Mayo Clinic, Rochester, MN, United States. Electronic address: Freimuth.Robert@mayo.edu.
6
University of Missouri-Kansas City, MO, United States. Electronic address: hoffmanma@umkc.edu.
7
Northwestern University, Chicago, IL, United States. Electronic address: luke.rasmussen@northwestern.edu.
8
University of Maryland, Baltimore, MD, United States. Electronic address: coverby@medicine.umaryland.edu.
9
University of Washington, Seattle, United States. Electronic address: shirtsb@uw.edu.
10
St. Jude Children's Research Hospital, Memphis, TN, United States. Electronic address: james.hoffman@stjude.org.
11
Medical University of South Carolina, Charleston, SC, United States. Electronic address: welchbm@musc.edu.

Abstract

Genomics is a promising tool that is becoming more widely available to improve the care and treatment of individuals. While there is much assertion, genomics will most certainly require the use of clinical decision support (CDS) to be fully realized in the routine clinical setting. The National Human Genome Research Institute (NHGRI) of the National Institutes of Health recently convened an in-person, multi-day meeting on this topic. It was widely recognized that there is a need to promote the innovation and development of resources for genomic CDS such as a CDS sandbox. The purpose of this study was to evaluate a proposed approach for such a genomic CDS sandbox among domain experts and potential users. Survey results indicate a significant interest and desire for a genomic CDS sandbox environment among domain experts. These results will be used to guide the development of a genomic CDS sandbox.

KEYWORDS:

Clinical decision support systems; Genomics; Health information technology; Medical genetics; Personalized medicine

PMID:
26778834
PMCID:
PMC4948866
DOI:
10.1016/j.jbi.2015.12.019
[Indexed for MEDLINE]
Free PMC Article

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