15. A computer program product for creating a semantically searchable electronic medical record, said computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions being readable/executable by a processor, to cause said processor to perform a method comprising: receiving a query for information from 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); identifying clinically relevant semantic relationships between said structured data and unstructured data in said EMR based on statistical associations between said CUIs; producing a score for relevant information from said EMR that is semantically related to said query based on strength of said clinically relevant semantic relationships between said structured data and unstructured data; prioritizing a display of said relevant information based on said score; and providing, in response to said query, said relevant information, said relevant information comprising at least one of clinical notes, medications, test results, treatments, and contraindications.
15. A computer program product for creating a semantically searchable electronic medical record, said computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions being readable/executable by a processor, to cause said processor to perform a method comprising: receiving a query for information from 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); identifying clinically relevant semantic relationships between said structured data and unstructured data in said EMR based on statistical associations between said CUIs; producing a score for relevant information from said EMR that is semantically related to said query based on strength of said clinically relevant semantic relationships between said structured data and unstructured data; prioritizing a display of said relevant information based on said score; and providing, in response to said query, said relevant information, said relevant information comprising at least one of clinical notes, medications, test results, treatments, and contraindications. 17. The computer program product according to claim 15 , said method further comprising: identifying a first set of medical concepts from said unstructured data in said EMR; identifying a second set of medical concepts from said structured data in said EMR; and 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.