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Research >> Surgical Site Infection Reduction >> SSI Signal Characterization

SSI Signal Characterization


To evaluate the performance of standard and alternative SPC detection rules for SSI surveillance.

Partners & Research Team

From the Healthcare Systems Engineering Institute:

  • Postdoctoral Fellow: Iulian Ilies, PhD

  • Undergraduate Students: Nathan Holler, Nicole Nehls

  • Project Manager: Margo Jacobsen


Statistical process control (SPC) methods were originally developed for quality control in manufacturing, however SPC is increasingly being used in healthcare applications. Despite these different contexts (assembly line vs. patient safety), the SPC approaches used are largely the same. This project explores what characteristics investigates how well standard SPC methods detect clinically-relevant (vs. statistically-significant) signals.


Institute for Healthcare Improvement National Forum 2017 Conference Poster (Available in December after the conference).

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