United States health care costs are twice as high as spending in most industrialized countries. One key opportunity for health systems to improve value is by limiting overuse of costly resources, in part by focusing these resources toward high-risk patient groups.1 Some health systems have been using retrospective claims data or other approaches, like the Framingham risk model, to identify high-risk individuals. However, most systems today are doing little in the way of risk stratification, and physicians often find it difficult to apply these characterizations of risk to the care of an individual patient.
Parikh RB, Kakad M, Bates DW. Integrating Predictive Analytics Into High-Value Care: The Dawn of Precision Delivery. JAMA. 2016;315(7):651–652. doi:10.1001/jama.2015.19417
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