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Applying machine learning to population health challenges
Social variables have a complicated interaction with patient risk and health outcomes in population health. This complication has been visible in both our past and today.
Healthcare organizations that want to enhance patient care while lowering costs are increasingly turning to artificial intelligence (AI) for population health management. AI, when used as a predictive tool, may identify at-risk and emerging-risk populations, allowing limited healthcare resources to target patient populations who will benefit and respond most to hands-on intervention.
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