Dirty data – data that is inaccurate, incomplete, or inconsistent – costs the U.S. $3.1 trillion per year, according to IBM. Along with the staggering cost, it prevents health care stakeholders from realizing the enormous potential value that they could be realizing from downstream analytics, including population health management, value-based care, and digital health. Health plans will […]
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