Until recently, economists, policy makers and workforce experts have relied on outdated and inaccurate snapshots of the US physician workforce, making it especially difficult to predict the need and availability of health care services across the country. In this study, Wingrove et al examine how machine learning algorithms may allow for more real-time, accurate descriptions of the medical workforce.
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