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Use of electronic medical records and biomarkers to manage risk and resource efficiencies

The migration from paper to electronic medical records (EMRs) was motivated by the administrative need to record, retrieve and process increasing amounts of clinical data in the 1980s. In the intervening period, there has been growing recognition of the potential of such records for achieving care e...

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Autores principales: Ryan, Dermot, Blakey, John, Chisholm, Alison, Price, David, Thomas, Mike, Ställberg, Björn, Lisspers, Karin, Kocks, Janwillem W. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404653/
https://www.ncbi.nlm.nih.gov/pubmed/28469833
http://dx.doi.org/10.1080/20018525.2017.1293386
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author Ryan, Dermot
Blakey, John
Chisholm, Alison
Price, David
Thomas, Mike
Ställberg, Björn
Lisspers, Karin
Kocks, Janwillem W. H.
author_facet Ryan, Dermot
Blakey, John
Chisholm, Alison
Price, David
Thomas, Mike
Ställberg, Björn
Lisspers, Karin
Kocks, Janwillem W. H.
author_sort Ryan, Dermot
collection PubMed
description The migration from paper to electronic medical records (EMRs) was motivated by the administrative need to record, retrieve and process increasing amounts of clinical data in the 1980s. In the intervening period, there has been growing recognition of the potential of such records for achieving care efficiencies, informing clinical decision making and real-life research. EMRs can be used to characterise patient groups, management approaches and differential outcomes. Characterisation can also help with identification of potential biomarkers for future risk determination and likely treatment response. The future heralds even greater opportunities through integration of clinical records and a range of technology-based solutions within a more complete electronic health record (EHR). Through application of algorithms based on identified risk predictors and disease determinants, clinical records could also be used to enable risk stratification of patients to optimise targeted interventions, conserving resources to achieve individual patient and system-wide benefit. In this review, we reflect on the evolution of the EMR and EHR and discuss current and emerging opportunities, particularly with respect to biomarkers and targeting of innovative biologic interventions. We also consider some of the critical issues associated with realising the potential of the EHR as a clinical aid and research tool in an age of emerging technologies.​​​​
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spelling pubmed-54046532017-05-03 Use of electronic medical records and biomarkers to manage risk and resource efficiencies Ryan, Dermot Blakey, John Chisholm, Alison Price, David Thomas, Mike Ställberg, Björn Lisspers, Karin Kocks, Janwillem W. H. Eur Clin Respir J Article The migration from paper to electronic medical records (EMRs) was motivated by the administrative need to record, retrieve and process increasing amounts of clinical data in the 1980s. In the intervening period, there has been growing recognition of the potential of such records for achieving care efficiencies, informing clinical decision making and real-life research. EMRs can be used to characterise patient groups, management approaches and differential outcomes. Characterisation can also help with identification of potential biomarkers for future risk determination and likely treatment response. The future heralds even greater opportunities through integration of clinical records and a range of technology-based solutions within a more complete electronic health record (EHR). Through application of algorithms based on identified risk predictors and disease determinants, clinical records could also be used to enable risk stratification of patients to optimise targeted interventions, conserving resources to achieve individual patient and system-wide benefit. In this review, we reflect on the evolution of the EMR and EHR and discuss current and emerging opportunities, particularly with respect to biomarkers and targeting of innovative biologic interventions. We also consider some of the critical issues associated with realising the potential of the EHR as a clinical aid and research tool in an age of emerging technologies.​​​​ Taylor & Francis 2017-03-14 /pmc/articles/PMC5404653/ /pubmed/28469833 http://dx.doi.org/10.1080/20018525.2017.1293386 Text en © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Ryan, Dermot
Blakey, John
Chisholm, Alison
Price, David
Thomas, Mike
Ställberg, Björn
Lisspers, Karin
Kocks, Janwillem W. H.
Use of electronic medical records and biomarkers to manage risk and resource efficiencies
title Use of electronic medical records and biomarkers to manage risk and resource efficiencies
title_full Use of electronic medical records and biomarkers to manage risk and resource efficiencies
title_fullStr Use of electronic medical records and biomarkers to manage risk and resource efficiencies
title_full_unstemmed Use of electronic medical records and biomarkers to manage risk and resource efficiencies
title_short Use of electronic medical records and biomarkers to manage risk and resource efficiencies
title_sort use of electronic medical records and biomarkers to manage risk and resource efficiencies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404653/
https://www.ncbi.nlm.nih.gov/pubmed/28469833
http://dx.doi.org/10.1080/20018525.2017.1293386
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