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Over time, the analyses from models used to study how specific variables affect specific variables of interest will reveal trends that help us identify which variables pose the greatest and/or most immediate risks. Coding of the “variables of risk” into groups will allow you to use logistic regression or other procedures using odds ratios to automatically inform you of the probability that any given variable of risk (or group of risks) is actually causing an undesirable outcome. Real time analytics, made possible by the work you did in Step 15, will help you manage these risks before the undesirable outcome occurs. You might need to use more contemporary analytics, such as machine learning and simulation modeling for smaller samples. Machine learning and simulation modeling can also be used for testing reconfiguration of operations based on real‐time risk. For example, with staff schedules, machine learning and/or simulation modeling can be used to test how staffing ratios of RNs to nursing assistants (and other skill mixes) affect safety.