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This project will develop and evaluate an electronic health record-embedded clinical decision support tool that draws upon the strength of analytical and naturalistic decision-making to optimize the use of blood cultures in critically ill children.
This project pilot tested and evaluated a smoking cessation clinical decision support system, finding it was feasible to implement, easy to use and helpful for patient care, and led to an increase in patient quit attempts.