Every day, more information becomes available about factors that affect the risk of a clinical event. Predictive analytics incorporate this information into prognostic models that estimate the likelihood of this event for an individual patient. The Framingham Heart Study pioneered this approach1 and such estimates have become core elements of clinical care and guideline recommendations, such as the recent ACC/AHA guidelines for managing blood cholesterol for primary prevention of cardiovascular disease risk.2 Advances in predictive analytics and precision medicine have and will continue to change the practice of medicine.
Sniderman AD, D’Agostino Sr RB, Pencina MJ. The Role of Physicians in the Era of Predictive Analytics. JAMA. 2015;314(1):25–26. doi:10.1001/jama.2015.6177
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