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An intelligent model to improve diagnosis

Today’s health care companies have substantial amounts of information at their disposal, from claims and clinical data to consumer information. Imagine the possibilities if we were to apply this data to how we diagnose and treat patients.

Optum® is using artificial intelligence (AI) to uncover those possibilities in a pilot with WestMed Medical Group that leverages machine learning to better predict patients with atrial fibrillation. A heart rhythm condition, atrial fibrillation is difficult to detect, particularly in its mildest forms.

In an interview with Business Insider, Steve Griffiths, senior vice president and chief operating officer of Optum Enterprise Analytics, explained how leveraging AI can help develop applications that are useful in diagnosing, and treating, patients. "Analytics isn't the end, it's the beginning." says Griffiths. "It's what you do with it to drive care improvement, quality improvement."

But the potential for AI in health care goes beyond improving patient outcomes — it could bring down the cost of health care.

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A conversation with Business Insider

Go behind the scenes at Optum Forum 2018 as Steve Griffiths of Optum Enterprise Analytics and Dr. Arthur Forni of WestMed Medical Group discuss the ability of AI to solve health care challenges and the early success of using AI to diagnose atrial fibrillation in patients.

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