Sentence examples for managing infection from inspiring English sources

Exact(9)

In a surgical era where the providers demand diagnostic and treatment technologies, and protocols for managing infection are all undergoing significant change, health care architects and providers must come together to answer several questions for the surgical facilities of tomorrow to be relevant.

Investigators must primarily identify agents for managing infection in populations and not simply seek explanations for how they work.

The key issues are the contextual features of LTCF care, coupled with variable knowledge and practices in managing infection, which are all subject to heavy social factors.

Less than half of health workers were assessed to have adequate knowledge in managing infection or identifying and stabilizing LBW babies.

Using World Health Organization guidelines and definitions (4 ), CDC developed guidance for evaluating a patient under investigation (PUI) for MERS-CoV infection, collecting specimens, conducting laboratory testing, and managing infection control (http://www.cdc.gov/coronavirus/mers/index.html).html

Poor communication between nurses and doctors was discussed by Carusone et al. [ 16] as having an impact on managing infection; distrust between doctors and nurses may lead to poor communication, which may compromise the quality of patient care.

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Similar(51)

Making it easier for women to be treated was one reason the Department of Family Practice at Kaiser Permanente in San Diego began managing infections over the telephone in 1991.

Although the criterion standard for staged reimplantation is interim placement of an antibiotic-loaded spacer, less-invasive surgical procedures have been advocated for managing infections caused by low-virulence bacteria.

The costs associated with managing infections are clearly considerable.

However, no algorithms for optimizing antimicrobial use or for managing infections have been evaluated in LTCFs.

The knowledge difference in managing infections of newborns was not statistically significant (p = 0.875).

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