Models identify surgical site infections: 3 study details

Research published in the American Journal of Infection Control detailed how EHR and American College of Surgeons outcome data can help identify surgical site infections.

The researchers used three data models from patients undergoing surgery at the Aurora-based University of Colorado Hospital between 2013 and 2015.

Here are the key research insights to know:

1. Out of 6,840 patients, 230 had an SSI.

2. The model identified the infections with 80 percent sensitivity and 90 percent specificity.

3. "We identified a model that accurately identified SSIs. The framework presented can be easily implemented by other American College of Surgeons National Surgical Quality Improvement Program-participating hospitals to develop models for enhancing surveillance of SSIs," the researchers concluded.

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