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Hospital decreased safety intelligence (SI) reports filed from 50 to 28 annually, by reducing clinical risk at triage.
It's like having a second set of eyes. And in emergency care, that can be life-saving.
Ken Shanahan
Senior Director of Emergency Medicine, UMass Memorial Health
UMass Memorial Health wanted to improve patient safety at triage by reducing risk events. In 2021–2022, staff filed 50 Safety Intelligence (SI) reports, identifying a clear opportunity to improve high-risk identification at the front door. This volume of reporting was exacerbated by subjective disagreements over triage accuracy, even when assessments were correct. Consequently, the manual reporting process became a significant administrative burden, consuming 10-15 minutes per incident and diverting valuable nursing time away from direct patient care.
UMass Memorial Health deployed KATE AI to objectify triage accuracy and provide a real-time safety net for high-risk patients. Integrated directly into the Epic EHR, the system applies clinical risk intelligence to identify anomalies in care and escalate cases that merit a second look. By providing an unbiased, data-driven validation of nurse acuity assignments, the hospital increased clinical confidence and preemptively aligned the care team, significantly reducing the errors and safety events.
Significant improvements across safety, efficiency, and risk mitigation.
The initiative achieved a 44% reduction in Safety Intelligence reports, dropping volume from 50 to 28 annually. This shift signals a fundamental improvement in safety culture and triage precision, as the reduction in reports correlates directly with higher confidence in initial patient assessments.
This operational improvement also delivered significant efficiency gains, reducing the time spent on reporting by 67% (reduced from 10-15 minutes to 2-5 minutes). Furthermore, the medical center successfully leveraged this objective clinical record to avoid a potentially costly medical malpractice claim, validating the system's ability to protect both patients and the institution.
KATE AI gives our triage nurses an unbiased, data-driven second opinion in real time. It's not replacing clinical judgment—it's reinforcing it, and the results speak for themselves.
Ken Shanahan
Senior Director of Emergency Medicine, UMass Memorial Health
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