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Data management Redefined
Core perspectives on the traditional approach to CDM are rapidly changing and EDC and new eclincal initiatives are redefining the face of data management. Associated with EDC are not only the higher efficiencies, resulting in lower study costs, but its applications in key areas such as adaptive tria...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Medknow Publications Pvt Ltd
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146076/ https://www.ncbi.nlm.nih.gov/pubmed/21814632 |
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author | Limaye, Nimita |
author_facet | Limaye, Nimita |
author_sort | Limaye, Nimita |
collection | PubMed |
description | Core perspectives on the traditional approach to CDM are rapidly changing and EDC and new eclincal initiatives are redefining the face of data management. Associated with EDC are not only the higher efficiencies, resulting in lower study costs, but its applications in key areas such as adaptive trials and clinical event adjudication; however the cost and effort involved in deployment and integration remain a deterrent. The role of the data manager may change to that of a data broker who manages the exchange of data from multiple sources, and semantic interoperability, data standards and data privacy will prove to be the defining factors. Simulation modeling, pharmacogenomics, personalized medicine and EHRs will no longer exist as silos and seamless data flows will be the drivers of healthcare solutions. |
format | Online Article Text |
id | pubmed-3146076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Medknow Publications Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-31460762011-08-03 Data management Redefined Limaye, Nimita Perspect Clin Res Clinical Data Management Core perspectives on the traditional approach to CDM are rapidly changing and EDC and new eclincal initiatives are redefining the face of data management. Associated with EDC are not only the higher efficiencies, resulting in lower study costs, but its applications in key areas such as adaptive trials and clinical event adjudication; however the cost and effort involved in deployment and integration remain a deterrent. The role of the data manager may change to that of a data broker who manages the exchange of data from multiple sources, and semantic interoperability, data standards and data privacy will prove to be the defining factors. Simulation modeling, pharmacogenomics, personalized medicine and EHRs will no longer exist as silos and seamless data flows will be the drivers of healthcare solutions. Medknow Publications Pvt Ltd 2010 /pmc/articles/PMC3146076/ /pubmed/21814632 Text en Copyright: © Perspectives in Clinical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Data Management Limaye, Nimita Data management Redefined |
title | Data management Redefined |
title_full | Data management Redefined |
title_fullStr | Data management Redefined |
title_full_unstemmed | Data management Redefined |
title_short | Data management Redefined |
title_sort | data management redefined |
topic | Clinical Data Management |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146076/ https://www.ncbi.nlm.nih.gov/pubmed/21814632 |
work_keys_str_mv | AT limayenimita datamanagementredefined |