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A Proposed Clinical Decision Support Architecture Capable of Supporting Whole Genome Sequence Information

Whole genome sequence (WGS) information may soon be widely available to help clinicians personalize the care and treatment of patients. However, considerable barriers exist, which may hinder the effective utilization of WGS information in a routine clinical care setting. Clinical decision support (C...

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Autores principales: Welch, Brandon M., Rodriguez Loya, Salvador, Eilbeck, Karen, Kawamoto, Kensaku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4234046/
https://www.ncbi.nlm.nih.gov/pubmed/25411644
http://dx.doi.org/10.3390/jpm4020176
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author Welch, Brandon M.
Rodriguez Loya, Salvador
Eilbeck, Karen
Kawamoto, Kensaku
author_facet Welch, Brandon M.
Rodriguez Loya, Salvador
Eilbeck, Karen
Kawamoto, Kensaku
author_sort Welch, Brandon M.
collection PubMed
description Whole genome sequence (WGS) information may soon be widely available to help clinicians personalize the care and treatment of patients. However, considerable barriers exist, which may hinder the effective utilization of WGS information in a routine clinical care setting. Clinical decision support (CDS) offers a potential solution to overcome such barriers and to facilitate the effective use of WGS information in the clinic. However, genomic information is complex and will require significant considerations when developing CDS capabilities. As such, this manuscript lays out a conceptual framework for a CDS architecture designed to deliver WGS-guided CDS within the clinical workflow. To handle the complexity and breadth of WGS information, the proposed CDS framework leverages service-oriented capabilities and orchestrates the interaction of several independently-managed components. These independently-managed components include the genome variant knowledge base, the genome database, the CDS knowledge base, a CDS controller and the electronic health record (EHR). A key design feature is that genome data can be stored separately from the EHR. This paper describes in detail: (1) each component of the architecture; (2) the interaction of the components; and (3) how the architecture attempts to overcome the challenges associated with WGS information. We believe that service-oriented CDS capabilities will be essential to using WGS information for personalized medicine.
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spelling pubmed-42340462014-11-17 A Proposed Clinical Decision Support Architecture Capable of Supporting Whole Genome Sequence Information Welch, Brandon M. Rodriguez Loya, Salvador Eilbeck, Karen Kawamoto, Kensaku J Pers Med Concept Paper Whole genome sequence (WGS) information may soon be widely available to help clinicians personalize the care and treatment of patients. However, considerable barriers exist, which may hinder the effective utilization of WGS information in a routine clinical care setting. Clinical decision support (CDS) offers a potential solution to overcome such barriers and to facilitate the effective use of WGS information in the clinic. However, genomic information is complex and will require significant considerations when developing CDS capabilities. As such, this manuscript lays out a conceptual framework for a CDS architecture designed to deliver WGS-guided CDS within the clinical workflow. To handle the complexity and breadth of WGS information, the proposed CDS framework leverages service-oriented capabilities and orchestrates the interaction of several independently-managed components. These independently-managed components include the genome variant knowledge base, the genome database, the CDS knowledge base, a CDS controller and the electronic health record (EHR). A key design feature is that genome data can be stored separately from the EHR. This paper describes in detail: (1) each component of the architecture; (2) the interaction of the components; and (3) how the architecture attempts to overcome the challenges associated with WGS information. We believe that service-oriented CDS capabilities will be essential to using WGS information for personalized medicine. MDPI 2014-04-04 /pmc/articles/PMC4234046/ /pubmed/25411644 http://dx.doi.org/10.3390/jpm4020176 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Concept Paper
Welch, Brandon M.
Rodriguez Loya, Salvador
Eilbeck, Karen
Kawamoto, Kensaku
A Proposed Clinical Decision Support Architecture Capable of Supporting Whole Genome Sequence Information
title A Proposed Clinical Decision Support Architecture Capable of Supporting Whole Genome Sequence Information
title_full A Proposed Clinical Decision Support Architecture Capable of Supporting Whole Genome Sequence Information
title_fullStr A Proposed Clinical Decision Support Architecture Capable of Supporting Whole Genome Sequence Information
title_full_unstemmed A Proposed Clinical Decision Support Architecture Capable of Supporting Whole Genome Sequence Information
title_short A Proposed Clinical Decision Support Architecture Capable of Supporting Whole Genome Sequence Information
title_sort proposed clinical decision support architecture capable of supporting whole genome sequence information
topic Concept Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4234046/
https://www.ncbi.nlm.nih.gov/pubmed/25411644
http://dx.doi.org/10.3390/jpm4020176
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