Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective
Joint Authors
Carney, Timothy Jay
Shea, Christopher Michael
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Carney, Timothy Jay& Shea, Christopher Michael. 2017. Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1141946
Modern Language Association (MLA)
Carney, Timothy Jay& Shea, Christopher Michael. Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1141946
American Medical Association (AMA)
Carney, Timothy Jay& Shea, Christopher Michael. Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1141946
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141946