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Healthcare is undergoing a digital revolution powered by predictive analytics, a technology that leverages data, machine learning, and AI to forecast patient outcomes and improve clinical decisions. By analyzing vast amounts of health data, predictive analytics helps providers anticipate risks, personalize treatment, and optimize resource allocation.
By anticipating hospital readmissions, optimizing resource allocation, and personalizing care plans, predictive analytics helps reduce costs and enhance efficiency across clinical operations—pivotal for value-based care models and population health management.
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Artificial Intelligence (AI) is no longer a futuristic concept in healthcare; it’s becoming a core component of diagnostics, treatment planning, and operational efficiency. But what happens when, …
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