Abstract: A term base can be used to index a raw medical term (e.g., a text string from an electronic health record) to generate a computational expression of the raw medical term. The computational expression of the raw medical term can be used to generate a uniform medical term for the raw medical term. The computational expression can be compared with other computational expressions to organize the electronic health record, filter the electronic health record, and provide a uniform presentation of raw medical terms from different events in the electronic health record.

Abstract: A term base can be used to index a raw term (e.g., a text string from an electronic health record) to generate a computational expression of the raw term. As part of doing so, portions of the raw term including personally identifying information can be removed and/or replaced with de-identified information. The computational expression of the raw term can be used to generate a version of the raw term that is devoid of the personally identifying information.

Abstract: Techniques for extracting clinical entities from clinical documents are provided. In some embodiments, a non-transitory machine-readable medium stores a program. The program receives a clinical document partitioned into a set of sections. Each section in the set of sections includes a plurality of terms. The program further identifies a section in the set of sections. The program also determines a subset of a plurality of entity recognizers based on a classification of the section. Each entity recognizer in the plurality of entity recognizers is configured to identify terms in the section as being associated with a particular type of data. The program further sends the section to the subset of the entity recognizers for processing. The program also generates a clinical statement based on terms identified in the section by the subset of the plurality of entity recognizers.

Abstract: A term base can be used to index a raw term (e.g., a text string from an electronic health record) to generate a computational expression of the raw term. As part of doing so, portions of the raw term including personally identifying information can be removed and/or replaced with de-identified information. The computational expression of the raw term can be used to generate a version of the raw term that is devoid of the personally identifying information.

Abstract: A term base can be used to index a raw medical term (e.g., a text string from an electronic health record) to generate a computational expression of the raw medical term. The computational expression of the raw medical term can be used to generate a uniform medical term for the raw medical term. The computational expression can be compared with other computational expressions to organize the electronic health record, filter the electronic health record, and provide a uniform presentation of raw medical terms from different events in the electronic health record.