Literature DB >> 26778834

The genomic CDS sandbox: An assessment among domain experts.

Ayesha Aziz1, Kensaku Kawamoto2, Karen Eilbeck3, Marc S Williams4, Robert R Freimuth5, Mark A Hoffman6, Luke V Rasmussen7, Casey L Overby8, Brian H Shirts9, James M Hoffman10, Brandon M Welch11.   

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

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

Mesh:

Year:  2016        PMID: 26778834      PMCID: PMC4948866          DOI: 10.1016/j.jbi.2015.12.019

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  17 in total

1.  The Personalized Medicine Coalition: goals and strategies.

Authors:  Edward Abrahams; Geoffrey S Ginsburg; Mike Silver
Journal:  Am J Pharmacogenomics       Date:  2005

2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  An Open-Source Sandbox for Increasing the Accessibility of Functional Programming to the Bioinformatics and Scientific Communities.

Authors:  Matthew Fenwick; Colbert Sesanker; Martin R Schiller; Heidi Jc Ellis; M Lee Hinman; Jay Vyas; Michael R Gryk
Journal:  Proc Int Conf Inf Technol New Gener       Date:  2012

4.  Health IT and clinical decision support systems: human factors and successful adoption.

Authors:  L Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2014-10       Impact factor: 4.497

5.  Technical desiderata for the integration of genomic data into Electronic Health Records.

Authors:  Daniel R Masys; Gail P Jarvik; Neil F Abernethy; Nicholas R Anderson; George J Papanicolaou; Dina N Paltoo; Mark A Hoffman; Isaac S Kohane; Howard P Levy
Journal:  J Biomed Inform       Date:  2011-12-27       Impact factor: 6.317

6.  Clinical decision support for whole genome sequence information leveraging a service-oriented architecture: a prototype.

Authors:  Brandon M Welch; Salvador Rodriguez-Loya; Karen Eilbeck; Kensaku Kawamoto
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

7.  A survey of informatics approaches to whole-exome and whole-genome clinical reporting in the electronic health record.

Authors:  Peter Tarczy-Hornoch; Laura Amendola; Samuel J Aronson; Levi Garraway; Stacy Gray; Robert W Grundmeier; Lucia A Hindorff; Gail Jarvik; Dean Karavite; Matthew Lebo; Sharon E Plon; Eliezer Van Allen; Karen E Weck; Peter S White; Yaping Yang
Journal:  Genet Med       Date:  2013-09-26       Impact factor: 8.822

8.  A proposed clinical decision support architecture capable of supporting whole genome sequence information.

Authors:  Brandon M Welch; Salvador Rodriguez Loya; Karen Eilbeck; Kensaku Kawamoto
Journal:  J Pers Med       Date:  2014-04-04

9.  The need for clinical decision support integrated with the electronic health record for the clinical application of whole genome sequencing information.

Authors:  Brandon M Welch; Kensaku Kawamoto
Journal:  J Pers Med       Date:  2013-12-18

10.  A conceptual model for translating omic data into clinical action.

Authors:  Timothy M Herr; Suzette J Bielinski; Erwin Bottinger; Ariel Brautbar; Murray Brilliant; Christopher G Chute; Joshua Denny; Robert R Freimuth; Andrea Hartzler; Joseph Kannry; Isaac S Kohane; Iftikhar J Kullo; Simon Lin; Jyotishman Pathak; Peggy Peissig; Jill Pulley; James Ralston; Luke Rasmussen; Dan Roden; Gerard Tromp; Marc S Williams; Justin Starren
Journal:  J Pathol Inform       Date:  2015-08-31
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  1 in total

Review 1.  Big Data Analytics for Genomic Medicine.

Authors:  Karen Y He; Dongliang Ge; Max M He
Journal:  Int J Mol Sci       Date:  2017-02-15       Impact factor: 5.923

  1 in total

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