Abstract: Systems and methods for configuring a medical record generation platform are provided. A first graphical user interface comprising a visual representation of a natural-language statement structure is displayed, and a first input comprising an instruction to update the natural-language statement structure to specify a first aspect of patient medical information is received. In response to receiving the first input, display of the visual representation is updated to include a visual representation of the first aspect of patient medical information, and an option group region representing a set of options for describing the first aspect is displayed. In accordance with the first user input, a data structure is stored comprising instructions for providing a platform for generating a natural-language healthcare document conforming to the natural-language statement structure represented by the visual representation, wherein the natural-language statement specifies the first aspect of patient medical information.

Abstract: Systems and methods for generating a natural-language statement for a healthcare record are provided. A graphical user interface comprising a canvas region and a menu region is displayed, wherein menu region comprises a first set of one or more interactive graphical user interface menu objects configured to receive user inputs corresponding to medical information. Data is received representing a first user input comprising user interaction with one or more of the first set of menu objects, the first input indicating medical information for a patient. In accordance with the first user input, a natural-language statement is generated based on the medical information indicated by the first user input, and display of the canvas region is updated to display the natural-language statement.

Abstract: Systems and methods for generating a complaint tree data structure based on audio conversation data of a medical visit are provided. Transcript conversation data is generated based on the audio conversation data using one or more automatic speech recognition (ASR) models. A complaint tree section corresponding to a section of the complaint tree data structure is determined based on the transcript conversation data. A plurality of medical entities corresponding to the complaint tree section are extracted from the transcript conversation data, and a relationship between two or more medical entities is determined. A complaint tree data structure is constructed based on the complaint tree section, the plurality of extracted medical entities, and the relationship between the two or more medical entities. Output data comprising an indication of one or more characteristics of the medical visit is generated based on the constructed complaint tree data structure.

Abstract: Systems and methods for generating and displaying medical records, such as a medical note, are provided. The systems and methods include displaying a graphical user interface comprising a plurality of screens; receiving transcript data of a medical consultation; generating one or more medical indicators based on the transcript data of the medical consultation; displaying, on a first screen of the plurality of screens, a plurality of medical indicators including the one or more medical indicators generated based on the received transcript data; receiving a user input; updating at least one medical indicator of the plurality of medical indicators displayed on the first screen based at least in part on the received user input; generating at least a portion of the medical note based on information indicated by the updated at least one medical indicator; and displaying, on a second screen of the plurality of screens, the generated medical note.

Abstract: Systems and methods are providing for associating portions of data from a first data file to a second data file. The association may be used to generate machine learning libraries or for other purposes. Exemplary embodiments may include a first data file of a text extraction of a dialog between a clinician and a patient and the second data file are clinical notes obtained from the exchange between the clinician and the patient.

Abstract: Systems and methods for configuring a medical record generation platform are provided. A first graphical user interface comprising a visual representation of a natural-language statement structure is displayed, and a first input comprising an instruction to update the natural-language statement structure to specify a first aspect of patient medical information is received. In response to receiving the first input, display of the visual representation is updated to include a visual representation of the first aspect of patient medical information, and an option group region representing a set of options for describing the first aspect is displayed. In accordance with the first user input, a data structure is stored comprising instructions for providing a platform for generating a natural-language healthcare document conforming to the natural-language statement structure represented by the visual representation, wherein the natural-language statement specifies the first aspect of patient medical information.

Abstract: Systems and methods for generating a natural-language statement for a healthcare record are provided. A graphical user interface comprising a canvas region and a menu region is displayed, wherein menu region comprises a first set of one or more interactive graphical user interface menu objects configured to receive user inputs corresponding to medical information. Data is received representing a first user input comprising user interaction with one or more of the first set of menu objects, the first input indicating medical information for a patient. In accordance with the first user input, a natural-language statement is generated based on the medical information indicated by the first user input, and display of the canvas region is updated to display the natural-language statement.