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).