Medicaid Benefits Data Collection. This data collection reflects Medicaid benefits covered in each state, limitations applied to those benefits, cost-sharing charges, and the reimbursement methodologies used for those benefits as of October 1, 2012.
Data Rationalization is a Managed Meta Data Environment (MME) enabled application which creates/extends an ontology for a domain into the structured data world, based on model objects stored in various models (of varying levels of detail, across model files and modeling tools) and other meta data.
Rationalization. Rationalization, as the name suggests, is the process of making fractions rational. The need for rationalization arises when there are irrational numbers, surds or roots (represented by ) or complex numbers in the denominator of a fraction. The following are examples of fractions that need to be rationalized: Although fractions with surds and complex numbers in their denominators are not wrong, it is a general consensus that they should not be written that way hence the need to simplify them by rationalization.