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Evaluating the impact of a computerized surveillance algorithm and decision support system on sepsis mortality

OPEN Journal of the American Medical Informatics Association : JAMIA | 27 May 2016

S Manaktala and SR Claypool
Abstract
We created a system using a triad of change management, electronic surveillance, and algorithms to detect sepsis and deliver highly sensitive and specific decision support to the point of care using a mobile application. The investigators hypothesized that this system would result in a reduction in sepsis mortality.
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Concepts
Discrete mathematics, Self service software, Halting problem, Knowledge engineering, Data warehouse, Decision engineering, Decision theory, Decision support system
MeSH headings
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