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.
Appendix: traditional normalization. Normalization is usually thought of as a process of applying a set of rules to your database design, mostly to achieve minimum redundancy in the data. Most textbooks present this as a three-step process, with correspondingly labeled ânormal forms,â which could be done in an almost algorthmic sequence.