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Spotting C. diff Risks with 'Hospital-Specific Approach' to Big Data

By Steven Porter  
   April 11, 2018

The study states that it appears to have predicted earlier and more accurately which high-risk patients should be targeted for infection prevention.

Vincent Young, MD, PhD, a study coauthor and a professor in the University of Michigan Department of Internal Medicine, told the institution’s publication that this research could make it easier to mitigate the dangerous hospital-acquired infection.

“The ability to identify patients at greatest risk could allow us to focus expensive and potentially limited prevention methods on those who would gain the greatest potential benefit,” Young said.

Steven Porter is an associate content manager and Strategy editor for HealthLeaders, a Simplify Compliance brand.

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