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Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective

Public health informatics is an evolving domain in which practices constantly change to meet the demands of a highly complex public health and healthcare delivery system. Given the emergence of various concepts, such as learning health systems, smart health systems, and adaptive complex health syste...

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Detalles Bibliográficos
Autores principales: Carney, Timothy Jay, Shea, Christopher Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259665/
https://www.ncbi.nlm.nih.gov/pubmed/28167999
http://dx.doi.org/10.1155/2017/1452415
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author Carney, Timothy Jay
Shea, Christopher Michael
author_facet Carney, Timothy Jay
Shea, Christopher Michael
author_sort Carney, Timothy Jay
collection PubMed
description Public health informatics is an evolving domain in which practices constantly change to meet the demands of a highly complex public health and healthcare delivery system. Given the emergence of various concepts, such as learning health systems, smart health systems, and adaptive complex health systems, health informatics professionals would benefit from a common set of measures and capabilities to inform our modeling, measuring, and managing of health system “smartness.” Here, we introduce the concepts of organizational complexity, problem/issue complexity, and situational awareness as three codependent drivers of smart public health systems characteristics. We also propose seven smart public health systems measures and capabilities that are important in a public health informatics professional's toolkit.
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spelling pubmed-52596652017-02-06 Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective Carney, Timothy Jay Shea, Christopher Michael Comput Math Methods Med Review Article Public health informatics is an evolving domain in which practices constantly change to meet the demands of a highly complex public health and healthcare delivery system. Given the emergence of various concepts, such as learning health systems, smart health systems, and adaptive complex health systems, health informatics professionals would benefit from a common set of measures and capabilities to inform our modeling, measuring, and managing of health system “smartness.” Here, we introduce the concepts of organizational complexity, problem/issue complexity, and situational awareness as three codependent drivers of smart public health systems characteristics. We also propose seven smart public health systems measures and capabilities that are important in a public health informatics professional's toolkit. Hindawi Publishing Corporation 2017 2017-01-10 /pmc/articles/PMC5259665/ /pubmed/28167999 http://dx.doi.org/10.1155/2017/1452415 Text en Copyright © 2017 T. J. Carney and C. M. Shea. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Carney, Timothy Jay
Shea, Christopher Michael
Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective
title Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective
title_full Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective
title_fullStr Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective
title_full_unstemmed Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective
title_short Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective
title_sort informatics metrics and measures for a smart public health systems approach: information science perspective
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259665/
https://www.ncbi.nlm.nih.gov/pubmed/28167999
http://dx.doi.org/10.1155/2017/1452415
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