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Concordium 2016: Data and Knowledge Transforming Health
INTRODUCTION AND CONTEXT: Concordium 2016 celebrated the potential for data and knowledge to transform health. Through a series of plenaries, presentations, workshops and demonstrations, the conference highlighted projects among four themes: effectiveness and outcomes research, health care analytics...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Ubiquity Press
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983075/ https://www.ncbi.nlm.nih.gov/pubmed/29881751 http://dx.doi.org/10.13063/2327-9214.1306 |
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author | Devine, Beth |
author_facet | Devine, Beth |
author_sort | Devine, Beth |
collection | PubMed |
description | INTRODUCTION AND CONTEXT: Concordium 2016 celebrated the potential for data and knowledge to transform health. Through a series of plenaries, presentations, workshops and demonstrations, the conference highlighted projects among four themes: effectiveness and outcomes research, health care analytics and operations, public and population health, and quality improvement. PAPERS IN THE SPECIAL ISSUE: The eight papers that comprise this special issue of eGEMs provide exemplars of solutions to the Big Data problems faced in today’s healthcare environment. CROSS-CUTTING ELEMENTS AND OVERLAPPING THEMES: Several of the papers contain elements of multiple overlapping themes. We integrate these into five overlapping themes: telehealth, user-centered design/usability, clinic workflow, patient-centered care, and population health management through prediction modeling and risk adjustment. CONCLUSION AND FUTURE DIRECTIONS: The effort to leverage all types of Big Data to improve health and healthcare is a monumental effort that will require the work of numerous stakeholders, and one that will unfold incrementally over time. This collection of eight papers reflects the current state of the art. Concordium 2017 will take a different form, inviting a small set of leaders in the field to focus on the next round of exciting and provocative research currently underway to improve the nation’s health. |
format | Online Article Text |
id | pubmed-5983075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Ubiquity Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59830752018-06-07 Concordium 2016: Data and Knowledge Transforming Health Devine, Beth EGEMS (Wash DC) Research INTRODUCTION AND CONTEXT: Concordium 2016 celebrated the potential for data and knowledge to transform health. Through a series of plenaries, presentations, workshops and demonstrations, the conference highlighted projects among four themes: effectiveness and outcomes research, health care analytics and operations, public and population health, and quality improvement. PAPERS IN THE SPECIAL ISSUE: The eight papers that comprise this special issue of eGEMs provide exemplars of solutions to the Big Data problems faced in today’s healthcare environment. CROSS-CUTTING ELEMENTS AND OVERLAPPING THEMES: Several of the papers contain elements of multiple overlapping themes. We integrate these into five overlapping themes: telehealth, user-centered design/usability, clinic workflow, patient-centered care, and population health management through prediction modeling and risk adjustment. CONCLUSION AND FUTURE DIRECTIONS: The effort to leverage all types of Big Data to improve health and healthcare is a monumental effort that will require the work of numerous stakeholders, and one that will unfold incrementally over time. This collection of eight papers reflects the current state of the art. Concordium 2017 will take a different form, inviting a small set of leaders in the field to focus on the next round of exciting and provocative research currently underway to improve the nation’s health. Ubiquity Press 2017-04-20 /pmc/articles/PMC5983075/ /pubmed/29881751 http://dx.doi.org/10.13063/2327-9214.1306 Text en Copyright: © 2018 The Author(s) https://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0), which permits unrestricted use and distribution, for non-commercial purposes, as long as the original material has not been modified, and provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc-nd/3.0/. |
spellingShingle | Research Devine, Beth Concordium 2016: Data and Knowledge Transforming Health |
title | Concordium 2016: Data and Knowledge Transforming Health |
title_full | Concordium 2016: Data and Knowledge Transforming Health |
title_fullStr | Concordium 2016: Data and Knowledge Transforming Health |
title_full_unstemmed | Concordium 2016: Data and Knowledge Transforming Health |
title_short | Concordium 2016: Data and Knowledge Transforming Health |
title_sort | concordium 2016: data and knowledge transforming health |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983075/ https://www.ncbi.nlm.nih.gov/pubmed/29881751 http://dx.doi.org/10.13063/2327-9214.1306 |
work_keys_str_mv | AT devinebeth concordium2016dataandknowledgetransforminghealth |