Inference of patient problems from medications using clinical indication relationships from NDF-RT and usage frequency from the SNOMED-CT CORE problem list subset may contribute to automated methods for summarizing large, complex patient records. Manual review of inferred problems found reasonable rates of matching problem list entries (61.8% total, 32.5% exact) and frequently relevant undocumented problems (62%).