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

被引:3
|
作者
Carney, Timothy Jay [1 ]
Shea, Christopher Michael [2 ]
机构
[1] Univ N Carolina, Gillings Sch Global Publ Hlth, 1101-C McGavran Greenberg Bldg,CB 7411, Chapel Hill, NC 27599 USA
[2] Univ N Carolina, Gillings Sch Global Publ Hlth, 1101-F McGavran Greenberg Bldg,CB 7411, Chapel Hill, NC 27599 USA
关键词
CHAOS THEORY; COMPLEXITY; KNOWLEDGE;
D O I
10.1155/2017/1452415
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:12
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