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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8000405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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