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Patient Safety Anomaly Detection - Business Summary
PptxGenJS Presentation
DATA 110 - UNC Chapel Hill
DATA 110 - UNC Chapel Hill
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2026-03-18T20:51:41Z
2026-03-18T20:51:41Z
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Patient SafetyAnomaly DetectionUsing AI to Detect Critical Vital Sign Patterns Before They Become EmergenciesPresented to Hospital Leadership | DATA 110 ProjectSchool of Data Science and Society • UNC Chapel HillPK
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The Problem 250K+Preventable deathsannually in US hospitals 80%Of critical events showwarning signs in vitals $20BAnnual cost of misseddiagnoses to hospitalsOur anomaly detection system addresses this gap by continuously monitoring patient vital signs and flagging abnormal patterns in real time.PK
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