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Informatics researchers combine algorithm with EHR data to predict secondary stroke risks

Informatics researchers combine algorithm with EHR data to predict secondary stroke risks

July 3, 2017

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Stroke patients that experience an irregular heartbeat are far more susceptible to a second stroke. Identifying that risk factor often requires significant resources, including 24/7 monitoring by physicians.

But a team of cardiologists and informatics researchers in Northern California has developed a way to predict which patients will experience an irregular heartbeat, known as atrial fibrillation, following a stroke, allowing hospitals to focus energy and resources on those high-risk individuals.

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