While debate drags on about legislation, regulations, and other measures to improve the U.S. health care system, a new wave of analytics and technology could help dramatically cut costly and unnecessary hospitalizations while improving outcomes for patients. For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.
How Machine Learning Is Helping Us Predict Heart Disease and Diabetes
Analytics is already revolutionizing health care.
May 30, 2017
Summary.
One of the biggest health care innovations that could dramatically cut costs and improve outcomes is predictive analytics technology. In this piece, the author describes recent research which found that machine learning algorithms could significantly increase diagnostic accuracy. While many of these tools are still in the early stages of development — and they don’t come without their fair share of risk — they do offer the potential to make a major positive impact on the global health care industry.
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Excel in a world that's being continually transformed by technology.