Health care is ultimately what happens between a doctor and a patient. Too often, people see the wrong doctor or don’t have access at all. The key is in matching people with the doctor best suited for their needs — doctors who do more of what’s helpful, less of what’s not. As the map below demonstrates, gaining access to quality care, in this case primary care physicians (PCPs), can be a challenge.
This represents the concentration of top-quality PCPs per capita in each county. The darker the color, the higher the supply of top-quality PCPs.
The proprietary Grand Rounds algorithms use clinical data (e.g., prescribing rates, preventive screening rates, medication adherence) to determine how providers perform according to various dimensions, and then determine the relative importance of those dimensions based on population-level impact. By doing this, the algorithms are able to predict which physicians are most likely to consistently deliver high-quality care. The result is a first-of-its-kind view of physician quality at the provider level.
To learn more about our methodology, read our blog post.
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