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A Quantitative Framework for Measuring Personalized Medicine Integration into US Healthcare Delivery Organizations

Personalized medicine (PM) approaches have revolutionized healthcare delivery by offering new insights that enable healthcare providers to select the optimal treatment approach for their patients. However, despite the consensus that these approaches have significant value, implementation across the...

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Detalles Bibliográficos
Autores principales: Agarwal, Arushi, Pritchard, Daryl, Gullett, Laura, Amanti, Kristen Garner, Gustavsen, Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000405/
https://www.ncbi.nlm.nih.gov/pubmed/33809012
http://dx.doi.org/10.3390/jpm11030196
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author Agarwal, Arushi
Pritchard, Daryl
Gullett, Laura
Amanti, Kristen Garner
Gustavsen, Gary
author_facet Agarwal, Arushi
Pritchard, Daryl
Gullett, Laura
Amanti, Kristen Garner
Gustavsen, Gary
author_sort Agarwal, Arushi
collection PubMed
description Personalized medicine (PM) approaches have revolutionized healthcare delivery by offering new insights that enable healthcare providers to select the optimal treatment approach for their patients. However, despite the consensus that these approaches have significant value, implementation across the US is highly variable. In order to address barriers to widespread PM adoption, a comprehensive and methodical approach to assessing the current level of PM integration within a given organization and the broader healthcare system is needed. A quantitative framework encompassing a multifactorial approach to assessing PM adoption has been developed and used to generate a rating of PM integration in 153 organizations across the US. The results suggest significant heterogeneity in adoption levels but also some consistent themes in what defines a high-performing organization, including the sophistication of data collected, data sharing practices, and the level of internal funding committed to supporting PM initiatives. A longitudinal approach to data collection will be valuable to track continued progress and adapt to new challenges and barriers to PM adoption as they arise.
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spelling pubmed-80004052021-03-28 A Quantitative Framework for Measuring Personalized Medicine Integration into US Healthcare Delivery Organizations Agarwal, Arushi Pritchard, Daryl Gullett, Laura Amanti, Kristen Garner Gustavsen, Gary J Pers Med Article Personalized medicine (PM) approaches have revolutionized healthcare delivery by offering new insights that enable healthcare providers to select the optimal treatment approach for their patients. However, despite the consensus that these approaches have significant value, implementation across the US is highly variable. In order to address barriers to widespread PM adoption, a comprehensive and methodical approach to assessing the current level of PM integration within a given organization and the broader healthcare system is needed. A quantitative framework encompassing a multifactorial approach to assessing PM adoption has been developed and used to generate a rating of PM integration in 153 organizations across the US. The results suggest significant heterogeneity in adoption levels but also some consistent themes in what defines a high-performing organization, including the sophistication of data collected, data sharing practices, and the level of internal funding committed to supporting PM initiatives. A longitudinal approach to data collection will be valuable to track continued progress and adapt to new challenges and barriers to PM adoption as they arise. MDPI 2021-03-12 /pmc/articles/PMC8000405/ /pubmed/33809012 http://dx.doi.org/10.3390/jpm11030196 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Agarwal, Arushi
Pritchard, Daryl
Gullett, Laura
Amanti, Kristen Garner
Gustavsen, Gary
A Quantitative Framework for Measuring Personalized Medicine Integration into US Healthcare Delivery Organizations
title A Quantitative Framework for Measuring Personalized Medicine Integration into US Healthcare Delivery Organizations
title_full A Quantitative Framework for Measuring Personalized Medicine Integration into US Healthcare Delivery Organizations
title_fullStr A Quantitative Framework for Measuring Personalized Medicine Integration into US Healthcare Delivery Organizations
title_full_unstemmed A Quantitative Framework for Measuring Personalized Medicine Integration into US Healthcare Delivery Organizations
title_short A Quantitative Framework for Measuring Personalized Medicine Integration into US Healthcare Delivery Organizations
title_sort quantitative framework for measuring personalized medicine integration into us healthcare delivery organizations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000405/
https://www.ncbi.nlm.nih.gov/pubmed/33809012
http://dx.doi.org/10.3390/jpm11030196
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