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Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records
A fundamental premise of scientific research is that it should be reproducible. However, the specific requirements for reproducibility of research using electronic health record (EHR) data have not been sufficiently articulated. There is no guidance for researchers about how to assess a given projec...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001777/ https://www.ncbi.nlm.nih.gov/pubmed/27570682 |
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author | Zozus, Meredith N. Richesson, Rachel L. Walden, Anita Tenenbaum, Jessie D. Hammond, W.E. |
author_facet | Zozus, Meredith N. Richesson, Rachel L. Walden, Anita Tenenbaum, Jessie D. Hammond, W.E. |
author_sort | Zozus, Meredith N. |
collection | PubMed |
description | A fundamental premise of scientific research is that it should be reproducible. However, the specific requirements for reproducibility of research using electronic health record (EHR) data have not been sufficiently articulated. There is no guidance for researchers about how to assess a given project and identify provisions for reproducibility. We analyze three different clinical research initiatives that use EHR data in order to define a set of requirements to reproduce the research using the original or other datasets. We identify specific project features that drive these requirements. The resulting framework will support the much-needed discussion of strategies to ensure the reproducibility of research that uses data from EHRs. |
format | Online Article Text |
id | pubmed-5001777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | American Medical Informatics Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-50017772016-08-26 Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records Zozus, Meredith N. Richesson, Rachel L. Walden, Anita Tenenbaum, Jessie D. Hammond, W.E. AMIA Jt Summits Transl Sci Proc Articles A fundamental premise of scientific research is that it should be reproducible. However, the specific requirements for reproducibility of research using electronic health record (EHR) data have not been sufficiently articulated. There is no guidance for researchers about how to assess a given project and identify provisions for reproducibility. We analyze three different clinical research initiatives that use EHR data in order to define a set of requirements to reproduce the research using the original or other datasets. We identify specific project features that drive these requirements. The resulting framework will support the much-needed discussion of strategies to ensure the reproducibility of research that uses data from EHRs. American Medical Informatics Association 2016-07-20 /pmc/articles/PMC5001777/ /pubmed/27570682 Text en ©2016 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose |
spellingShingle | Articles Zozus, Meredith N. Richesson, Rachel L. Walden, Anita Tenenbaum, Jessie D. Hammond, W.E. Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records |
title | Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records |
title_full | Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records |
title_fullStr | Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records |
title_full_unstemmed | Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records |
title_short | Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records |
title_sort | research reproducibility in longitudinal multi-center studies using data from electronic health records |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001777/ https://www.ncbi.nlm.nih.gov/pubmed/27570682 |
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