Predictive analytics (PA) uses past and real-time data to forecast future events and detect patient care trends, using artificial intelligence, machine learning and other techniques. PA can help providers predict what diseases a patient is likely to develop and how they might respond to a particular treatment. PA can identify patients at risk for readmission, and it can alert public health administrators to looming population health dangers.

Predictive analytics pulls in data from a wide range of sources to identify the likelihood of future outcomes and has healthcare applications for providers, payers, administrators and public health. Like other data tools such as artificial intelligence, machine learning and synthetic data, predictive analytics depends on large amounts of high-quality data and powerful computer processing to be of value.

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