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Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains

BACKGROUND: The US Veterans Administration (VA) has developed a robust and mature computational infrastructure in support of its electronic health record (EHR). Web technology offers a powerful set of tools for structuring clinical decision support (CDS) around clinical care. This paper describes in...

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Autores principales: Rajeevan, Nallakkandi, Niehoff, Kristina M., Charpentier, Peter, Levin, Forrest L., Justice, Amy, Brandt, Cynthia A., Fried, Terri R., Miller, Perry L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517800/
https://www.ncbi.nlm.nih.gov/pubmed/28724368
http://dx.doi.org/10.1186/s12911-017-0501-x
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author Rajeevan, Nallakkandi
Niehoff, Kristina M.
Charpentier, Peter
Levin, Forrest L.
Justice, Amy
Brandt, Cynthia A.
Fried, Terri R.
Miller, Perry L.
author_facet Rajeevan, Nallakkandi
Niehoff, Kristina M.
Charpentier, Peter
Levin, Forrest L.
Justice, Amy
Brandt, Cynthia A.
Fried, Terri R.
Miller, Perry L.
author_sort Rajeevan, Nallakkandi
collection PubMed
description BACKGROUND: The US Veterans Administration (VA) has developed a robust and mature computational infrastructure in support of its electronic health record (EHR). Web technology offers a powerful set of tools for structuring clinical decision support (CDS) around clinical care. This paper describes informatics challenges and design issues that were confronted in the process of building three Web-based CDS systems in the context of the VA EHR. METHODS: Over the course of several years, we implemented three Web-based CDS systems that extract patient data from the VA EHR environment to provide patient-specific CDS. These were 1) the VACS (Veterans Aging Cohort Study) Index Calculator which estimates prognosis for HIV+ patients, 2) Neuropath/CDS which assists in the medical management of patients with neuropathic pain, and 3) TRIM (Tool to Reduce Inappropriate Medications) which identifies potentially inappropriate medications in older adults and provides recommendations for improving the medication regimen. RESULTS: The paper provides an overview of the VA EHR environment and discusses specific informatics issues/challenges that arose in the context of each of the three Web-based CDS systems. We discuss specific informatics methods and provide details of approaches that may be useful within this setting. CONCLUSIONS: Informatics issues and challenges relating to data access and data availability arose because of the particular architecture of the national VA infrastructure and the need to link to that infrastructure from local Web-based CDS systems. Idiosyncrasies of VA patient data, especially the medication data, also posed challenges. Other issues related to specific functional needs of individual CDS systems. The goal of this paper is to describe these issues so that our experience may serve as a useful foundation to assist others who wish to build such systems in the future.
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spelling pubmed-55178002017-07-20 Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains Rajeevan, Nallakkandi Niehoff, Kristina M. Charpentier, Peter Levin, Forrest L. Justice, Amy Brandt, Cynthia A. Fried, Terri R. Miller, Perry L. BMC Med Inform Decis Mak Correspondence BACKGROUND: The US Veterans Administration (VA) has developed a robust and mature computational infrastructure in support of its electronic health record (EHR). Web technology offers a powerful set of tools for structuring clinical decision support (CDS) around clinical care. This paper describes informatics challenges and design issues that were confronted in the process of building three Web-based CDS systems in the context of the VA EHR. METHODS: Over the course of several years, we implemented three Web-based CDS systems that extract patient data from the VA EHR environment to provide patient-specific CDS. These were 1) the VACS (Veterans Aging Cohort Study) Index Calculator which estimates prognosis for HIV+ patients, 2) Neuropath/CDS which assists in the medical management of patients with neuropathic pain, and 3) TRIM (Tool to Reduce Inappropriate Medications) which identifies potentially inappropriate medications in older adults and provides recommendations for improving the medication regimen. RESULTS: The paper provides an overview of the VA EHR environment and discusses specific informatics issues/challenges that arose in the context of each of the three Web-based CDS systems. We discuss specific informatics methods and provide details of approaches that may be useful within this setting. CONCLUSIONS: Informatics issues and challenges relating to data access and data availability arose because of the particular architecture of the national VA infrastructure and the need to link to that infrastructure from local Web-based CDS systems. Idiosyncrasies of VA patient data, especially the medication data, also posed challenges. Other issues related to specific functional needs of individual CDS systems. The goal of this paper is to describe these issues so that our experience may serve as a useful foundation to assist others who wish to build such systems in the future. BioMed Central 2017-07-19 /pmc/articles/PMC5517800/ /pubmed/28724368 http://dx.doi.org/10.1186/s12911-017-0501-x Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Correspondence
Rajeevan, Nallakkandi
Niehoff, Kristina M.
Charpentier, Peter
Levin, Forrest L.
Justice, Amy
Brandt, Cynthia A.
Fried, Terri R.
Miller, Perry L.
Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
title Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
title_full Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
title_fullStr Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
title_full_unstemmed Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
title_short Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
title_sort utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517800/
https://www.ncbi.nlm.nih.gov/pubmed/28724368
http://dx.doi.org/10.1186/s12911-017-0501-x
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