HealthDecember 13, 2022

Improving infection cluster detection by automating patient tracing and robust analytics

There has been a global resurgence of healthcare-associated infections brought on by a preoccupation with the COVID-19 pandemic.

At Wolters Kluwer, we've learned from our customers that more demanding IP tasks, such as proactively monitoring for clusters of infection, often lose needed focus during these times of stress. That's why our Sentri7 team is applying technology to help IPs work smarter and be more proactive.

In this video, Matt Weissenbach, DrPH, CPH, CIC, FAPIC explains how automating infection cluster detection improves a hospital's response to potential outbreaks. With Sentri7 Infection Prevention, IP teams can identify healthcare-acquired infections (HAIs) and trends sooner to improve quality and reduce costs.

 Learn more about Sentri7® Infection Prevention
Improving infection cluster detection
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Matthew-Weissenbach
Senior Director of Clinical Affairs
Dr. Matt Weissenbach is responsible for directing clinician efforts toward the design, development, implementation and support of Wolters Kluwer Clinical Surveillance software solutions.
Solutions
Sentri7®

Trusted real-time alerts and evidence-based guidance to ensure at-risk patients receive the right care at the right time, every time.

Sentri7's sophisticated algorithms identify at-risk patients in real-time by breaking down data silos that exist across hospitals and driving consistent clinical action. All to improve patient outcomes and hospital performance.
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