8. A method comprising: analyzing an electronic medical record (EMR) comprising structured data and unstructured data; annotating contents of said unstructured data and said structured data to produce annotations; using said annotations to create concept unique identifiers (CUIs), said analyzing comprising: automatically identifying a first set of medical concepts from said unstructured data in said EMR; automatically identifying a second set of medical concepts from said structured data in said EMR; and automatically identifying clinically relevant semantic relationships in a medical ontology between medical concepts in said first set of medical concepts and said second set of medical concepts in said EMR based on statistical associations between said CUIs; producing a score for relevant information from said EMR that is semantically related to a query based on strength of said clinically relevant semantic relationships between said first set of medical concepts and said second set of medical concepts; prioritizing a display of said relevant information based on said score; storing relationship information as a data structure in a computerized device; and providing, in response to said query, said relevant information.
8. A method comprising: analyzing an electronic medical record (EMR) comprising structured data and unstructured data; annotating contents of said unstructured data and said structured data to produce annotations; using said annotations to create concept unique identifiers (CUIs), said analyzing comprising: automatically identifying a first set of medical concepts from said unstructured data in said EMR; automatically identifying a second set of medical concepts from said structured data in said EMR; and automatically identifying clinically relevant semantic relationships in a medical ontology between medical concepts in said first set of medical concepts and said second set of medical concepts in said EMR based on statistical associations between said CUIs; producing a score for relevant information from said EMR that is semantically related to a query based on strength of said clinically relevant semantic relationships between said first set of medical concepts and said second set of medical concepts; prioritizing a display of said relevant information based on said score; storing relationship information as a data structure in a computerized device; and providing, in response to said query, said relevant information. 10. The method according to claim 8 , further comprising: receiving a query containing search terms for information from said EMR; and retrieving semantically relevant results from said EMR related to said search terms in response to said query using a search index.