Informatics metrics and measures for a smart public health systems approach: Information science perspective

In this 2017 paper published in Computational and Mathematical Methods in Medicine, Carney and Shea of the Gillings School of Global Public Health at University of North Carolina – Chapel Hill take a closer look at what drives intelligent public health system characteristics, and they provide insights into measures and capabilities vital to the public health informatician. They conclude that “[a] common set of analytic measures and capabilities that can drive efficiency and viable models can demonstrate how incremental changes in smartness generate corresponding changes in public health performance.” This work builds on existing literature and seeks “to establish standardized measures for smart, learning, and adaptive public health systems.”

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