Abstract: Various embodiments herein each include at least one of systems, methods, software, and data structures for semantic graph textual coding. While some embodiments are applicable to coding text of medical records for billing purposes, other embodiments are applicable to coding of any text, regardless to any number of different coding schemes, whether the coding scheme is a defined standard or an ad hoc code for a particular project. One method embodiment includes processing text of a new record to generate at least one concept molecule that represents semantic meaning of the text of the new record and comparing each of the at least one concept molecules to a set of target molecules to identify at least one closest matching target molecule to each of the at least one concept molecules. The method may then store a representation of a closest matching target molecule in association with the new record.

Abstract: The present disclosure provides an improved methodology for constructing and querying a shallow discourse stack. Multiple shallow discourse stacks may be generated and queried, such as using a separate discourse stack for each semantic type. In an example, various discourse stacks may be used for semantic types associated with clinical concept identification and medical code extraction from medical records. The use of a shallow discourse stack may include identifying a concept of a specific semantic type as needed to resolve an under-specified complex concept, and the shallow discourse stack may be queried using the specific semantic type to resolve the under-specified complex concept. The formation and querying of the shallow discourse stack may be repeated throughout the document until all complex concepts are resolved.

Abstract: This disclosure describes systems, devices, and techniques for abstracting and coding medical documents. In one example, a method includes receiving a medical document comprising a plurality of tokens, annotating at least one of the plurality of tokens with one or more concepts, parsing the plurality of tokens of the medical document to identify one or more syntactic structures, and abstracting, by the computing device, each of the one or more syntactic structures to a semantic representation based on the parsing and the respective concepts. The method may also include determining, based on the semantic representation of at least one of the respective one or more syntactic structures, one or more medical codes representative of information contained in the medical document and outputting the medical code for the medical document.