Data Quality Best Practices to Discover the Hidden Potential of Dirty Data in Health Care
Dataversity
DECEMBER 20, 2022
Dirty data – data that is inaccurate, incomplete, or inconsistent – costs the U.S. 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.
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