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Big data are coming to psychiatry: a general introduction
Big data are coming to the study of bipolar disorder and all of psychiatry. Data are coming from providers and payers (including EMR, imaging, insurance claims and pharmacy data), from omics (genomic, proteomic, and metabolomic data), and from patients and non-providers (data from smart phone and In...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4715830/ https://www.ncbi.nlm.nih.gov/pubmed/26440506 http://dx.doi.org/10.1186/s40345-015-0038-9 |
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author | Monteith, Scott Glenn, Tasha Geddes, John Bauer, Michael |
author_facet | Monteith, Scott Glenn, Tasha Geddes, John Bauer, Michael |
author_sort | Monteith, Scott |
collection | PubMed |
description | Big data are coming to the study of bipolar disorder and all of psychiatry. Data are coming from providers and payers (including EMR, imaging, insurance claims and pharmacy data), from omics (genomic, proteomic, and metabolomic data), and from patients and non-providers (data from smart phone and Internet activities, sensors and monitoring tools). Analysis of the big data will provide unprecedented opportunities for exploration, descriptive observation, hypothesis generation, and prediction, and the results of big data studies will be incorporated into clinical practice. Technical challenges remain in the quality, analysis and management of big data. This paper discusses some of the fundamental opportunities and challenges of big data for psychiatry. |
format | Online Article Text |
id | pubmed-4715830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-47158302016-01-25 Big data are coming to psychiatry: a general introduction Monteith, Scott Glenn, Tasha Geddes, John Bauer, Michael Int J Bipolar Disord Review Big data are coming to the study of bipolar disorder and all of psychiatry. Data are coming from providers and payers (including EMR, imaging, insurance claims and pharmacy data), from omics (genomic, proteomic, and metabolomic data), and from patients and non-providers (data from smart phone and Internet activities, sensors and monitoring tools). Analysis of the big data will provide unprecedented opportunities for exploration, descriptive observation, hypothesis generation, and prediction, and the results of big data studies will be incorporated into clinical practice. Technical challenges remain in the quality, analysis and management of big data. This paper discusses some of the fundamental opportunities and challenges of big data for psychiatry. Springer Berlin Heidelberg 2015-09-29 /pmc/articles/PMC4715830/ /pubmed/26440506 http://dx.doi.org/10.1186/s40345-015-0038-9 Text en © Monteith et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Review Monteith, Scott Glenn, Tasha Geddes, John Bauer, Michael Big data are coming to psychiatry: a general introduction |
title | Big data are coming to psychiatry: a general introduction |
title_full | Big data are coming to psychiatry: a general introduction |
title_fullStr | Big data are coming to psychiatry: a general introduction |
title_full_unstemmed | Big data are coming to psychiatry: a general introduction |
title_short | Big data are coming to psychiatry: a general introduction |
title_sort | big data are coming to psychiatry: a general introduction |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4715830/ https://www.ncbi.nlm.nih.gov/pubmed/26440506 http://dx.doi.org/10.1186/s40345-015-0038-9 |
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