Machine Learning Can Improve Provider Directory Accuracy
Mitigate directory accuracy challenges by addressing large and delegated groups.
It’s easy to underestimate the importance of the healthcare provider directories maintained by payers, but members often turn to these directories to choose a primary care physician, select a plan, identify in-network specialists and find contact information that facilitates necessary care. The integrity of these lists is vital to members looking for a doctor and to practices that need to ensure their information is available to potential patients. Health plans have to get them right. They can accomplish this through the integration of machine learning.
Download our white paper today to learn how machine learning can be used to reduce administrative burdens on payers and providers.
