Abstract: A system including a confidence assessment module that implements a neural network to assess the likelihood that codes associated with a patient's encounter with a healthcare organization are accurate. The confidence assessment module may also be incrementally trained.

Abstract: A system including a confidence assessment module that implements a neural network to assess the likelihood that codes associated with a patient's encounter with a healthcare organization are accurate. The confidence assessment module may also be incrementally trained.

Abstract: A system including a confidence assessment module that implements a neural network to assess the likelihood that codes associated with a patient's encounter with a healthcare organization are accurate. The confidence assessment module may also be incrementally trained.

Abstract: A system including a confidence assessment module that implements a neural network to assess the likelihood that codes associated with a patient's encounter with a healthcare organization are accurate. The confidence assessment module may also be incrementally trained.

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.