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.
With Data Rationalization, weâre not trying to find where an actual piece of data came from (i.e. source to target), but what higher order model objects the data was conceived from or help to explain it, or which downstream objects implement the higher order model objects (see Figure 1 below).