Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for generating a patient profile. One method includes generating a patient profile corresponding to a patient that comprises profile data items and profile data parameters. Generating a synthesized context-aware rendition of a patient summary from the profile data items and the profile data parameters. Mapping doctor specialties and data workflows in relation to the synthesized context-aware rendition of the patient summary.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for generating a patient profile. One method includes generating a patient profile corresponding to a patient that comprises profile data items and profile data parameters. Generating a synthesized context-aware rendition of a patient summary from the profile data items and the profile data parameters. Mapping doctor specialties and data workflows in relation to the synthesized context-aware rendition of the patient summary.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for classification using neural networks. One method includes receiving captured patient data in a template format with one or more fields. Receiving a selection of a likelihood of an illness corresponding to a patient. Determining a treatment plan for the patient using captured patient data, wherein the treatment plan comprises content items with actionable tasks and interconnection between the content items that provide treatment steps based on the illness of the patient. Determining a workflow for the determined treatment plan for the patient.

Abstract: Digital assistant systems and methods include computerized displays that display timelines of healthcare instances based on date of the same. Timelines may display unique sets of healthcare instances based on selected nodes, filters, or other criteria such as allergies, prognosis, medications, or vitals. Digital assistant systems and methods provide single-page displays of timelines that can be sorted and filtered based on user engagement with the same. Additional information can be recorded through selection and filtering of timelines during specific interactions and times, associated with the recordation, through the single page.

Abstract: Healthcare information recorders use a series of processor-driven GUIs that enable low burden entry of healthcare information, including examination information, diagnoses, and treatment/prognosis. Typing of whole words and phrases is not required in the recorders, which may operate with simple touches, gestures, spoken commands, etc., potentially through a touchscreen. A database may store a series of input templates and entry options that reflect likely options for healthcare information needed to be entered. All aspects of healthcare are addressable, including examinations, diagnoses, tests and results, prescriptions, treatments, and prognoses. Input into the recorders refines later operations, permitting suggestions, auto-completion, and better solicitation of information in a sequence of GUIs. User input through recorders may thus be both simplified and comprehensive and stored in connection with relevant recordation information such as date and time, attending physician, or by patient identifier.