1. A system for generating an inferred data grouping, comprising: an input interface receiving clinically relevant source data from a first data source and clinically relevant source data from a second data source, wherein each of the first data source and the second data source comprises a healthcare provider, a hospital, an insurer, a laboratory, or a medical facility; an inference engine, the inference engine communicating with the input interface to access the clinically relevant source data, automatically detecting an inferred clinical relationship between at least one attribute or data in the clinically relevant source data from the first data source and at least one attribute or data in the clinically relevant source data from the second data source being separate from the first data source comprising the healthcare provider, the hospital, the insurer, the laboratory, or the medical facility, wherein the inferred clinical relationship is automatically detected using an inference measure to detect and substantiate the inferred clinical relationship, generating an inferred data grouping in accordance with the detected inferred clinical relationship, and combining the inferred data grouping with an existing clinical data grouping to generate an inferentially enhanced data grouping that is used to analyze past healthcare-related trends and model future healthcare-related events to project a healthcare-related cost, outcome, trend, or interest; and a query engine, the query engine receiving a user query, in response to receiving the user query, utilizing the inferentially enhanced data grouping to analyze one or more healthcare-related trends, and providing a user with output based on the one or more healthcare-related trends.