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Viewpoint |

The Role of Physicians in the Era of Predictive Analytics

Allan D. Sniderman, MD1; Ralph B. D’Agostino Sr, PhD2; Michael J. Pencina, PhD3
[+] Author Affiliations
1Royal Victoria Hospital, McGill University, Montreal, Quebec, Canada
2Department of Mathematics and Statistics, Boston University, Boston, Massachusetts
3Duke Clinical Research Institute, Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
JAMA. 2015;314(1):25-26. doi:10.1001/jama.2015.6177.
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This Viewpoint unravels predictive analytics, a necessary component of setting clinical guidelines based on populations of patients, but stop short in estimating individual risk.

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.

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The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
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