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Harnessing big data for health equity through a comprehensive public database and data collection framework
The United States Department of Health and Human Services (HHS) pledged $90 million to help reduce health disparities with data-driven solutions. The funds are being distributed to 1400 community health centers, serving over 30 million Americans. Given these developments, our piece examines the reas...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199946/ https://www.ncbi.nlm.nih.gov/pubmed/37210430 http://dx.doi.org/10.1038/s41746-023-00844-5 |
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author | Sabet, Cameron Hammond, Alessandro Ravid, Nim Tong, Michelle Sun Stanford, Fatima Cody |
author_facet | Sabet, Cameron Hammond, Alessandro Ravid, Nim Tong, Michelle Sun Stanford, Fatima Cody |
author_sort | Sabet, Cameron |
collection | PubMed |
description | The United States Department of Health and Human Services (HHS) pledged $90 million to help reduce health disparities with data-driven solutions. The funds are being distributed to 1400 community health centers, serving over 30 million Americans. Given these developments, our piece examines the reasons behind the delayed adoption of big data for healthcare equity, recent efforts embracing big data tools, and methods to maximize potential without overburdening physicians. We additionally propose a public database for anonymized patient data, introducing diverse metrics and equitable data collection strategies, providing valuable insights for policymakers and health systems to better serve communities. |
format | Online Article Text |
id | pubmed-10199946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101999462023-05-22 Harnessing big data for health equity through a comprehensive public database and data collection framework Sabet, Cameron Hammond, Alessandro Ravid, Nim Tong, Michelle Sun Stanford, Fatima Cody NPJ Digit Med Perspective The United States Department of Health and Human Services (HHS) pledged $90 million to help reduce health disparities with data-driven solutions. The funds are being distributed to 1400 community health centers, serving over 30 million Americans. Given these developments, our piece examines the reasons behind the delayed adoption of big data for healthcare equity, recent efforts embracing big data tools, and methods to maximize potential without overburdening physicians. We additionally propose a public database for anonymized patient data, introducing diverse metrics and equitable data collection strategies, providing valuable insights for policymakers and health systems to better serve communities. Nature Publishing Group UK 2023-05-20 /pmc/articles/PMC10199946/ /pubmed/37210430 http://dx.doi.org/10.1038/s41746-023-00844-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Perspective Sabet, Cameron Hammond, Alessandro Ravid, Nim Tong, Michelle Sun Stanford, Fatima Cody Harnessing big data for health equity through a comprehensive public database and data collection framework |
title | Harnessing big data for health equity through a comprehensive public database and data collection framework |
title_full | Harnessing big data for health equity through a comprehensive public database and data collection framework |
title_fullStr | Harnessing big data for health equity through a comprehensive public database and data collection framework |
title_full_unstemmed | Harnessing big data for health equity through a comprehensive public database and data collection framework |
title_short | Harnessing big data for health equity through a comprehensive public database and data collection framework |
title_sort | harnessing big data for health equity through a comprehensive public database and data collection framework |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199946/ https://www.ncbi.nlm.nih.gov/pubmed/37210430 http://dx.doi.org/10.1038/s41746-023-00844-5 |
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