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CourtneyHastings
Employee
Employee

Predictive Data Models Identify Undiagnosed Medical Conditions and Solve Hospital Capacity Challenges

Hypertension, a leading factor in death and disability, affects one in four adults – yet 25 percent of people with hypertension remain undiagnosed. This is a serious problem not just for patients but for healthcare providers as well. Undiagnosed cases of hypertension are associated with over 50 percent of stroke and heart attack cases and are a leading cause of hospital admissions. In a session at Qlik World Online, Rob O’Neill, Head of Analytics at University Hospitals of Morecambe Bay (UHMB) NHS Foundation Trust, shared the results of an innovative initiative trialed by UHMB NHS – hospitals could use high-performing data models for predictive diagnosis to identify that 25 percent of people with hypertension that were previously undiagnosed. A clear picture of just one commonly undiagnosed medical condition could help UHMB NHS build a data-driven understanding of systemwide patient flow in hospitals.

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