Patent classifications
G16H10/20
Subsetting brain data
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a subset of brain data of a patient. One of the methods includes obtaining data characterizing a brain of a patient; determining a first prompt for presentation to a user; obtaining a first user input characterizing a first response to the first prompt; determining, using the first response to the first prompt, a second prompt for presentation to the user; obtaining a second user input characterizing a second response to the second prompt, wherein at least one of the first prompt or the second prompt seek a response based on a clinical observation of the patient; and determining a subset of the obtained data using the first response to the first prompt and the second response to the second prompt.
Visualizing the documentation and coding of surgical procedures
Among other things, methods, systems and computer program products for providing visual indication of documentation and coding of medical procedures may include providing a choice of medical codes associated with a medical procedure. A user selection of one of the medical codes is detected. Based on the detection, a visual indication of the user selection is generated on one or more anatomical diagrams.
Visualizing the documentation and coding of surgical procedures
Among other things, methods, systems and computer program products for providing visual indication of documentation and coding of medical procedures may include providing a choice of medical codes associated with a medical procedure. A user selection of one of the medical codes is detected. Based on the detection, a visual indication of the user selection is generated on one or more anatomical diagrams.
Electronic medical record summary and presentation
Methods, devices, and systems (for outputting a case summary) receive an electronic medical record (EMR) (and generally electronic records) for the medical patient, extract medical data from the EMR, provide a list of medical problems relevant to the EMR, identifying relations between the medical problems and the medical data using a question-answering (QA) system, and output the clinical summary for the EMR. The clinical summary comprises the list of medical problems, the medical data, and the relations.
Electronic medical record summary and presentation
Methods, devices, and systems (for outputting a case summary) receive an electronic medical record (EMR) (and generally electronic records) for the medical patient, extract medical data from the EMR, provide a list of medical problems relevant to the EMR, identifying relations between the medical problems and the medical data using a question-answering (QA) system, and output the clinical summary for the EMR. The clinical summary comprises the list of medical problems, the medical data, and the relations.
Usage tracking system
Embodiments are generally directed to systems and apparatuses for tracking usage of an item. For example, an apparatus may be provided for tracking use of a packetized item. The apparatus may include a microprocessor, a power source, and a structural layer to which the microprocessor and power source are coupled. The structural layer may include a container that is configured to hold various items. The container may also include an opening that allows access to the items. The apparatus may further include a cover layer that is configured to cover the opening of the container. The cover layer may include at least one bendable sensor placed over the opening of the container. The microprocessor may be configured to determine, using detected movements in the bendable sensor, whether the container has been opened.
Usage tracking system
Embodiments are generally directed to systems and apparatuses for tracking usage of an item. For example, an apparatus may be provided for tracking use of a packetized item. The apparatus may include a microprocessor, a power source, and a structural layer to which the microprocessor and power source are coupled. The structural layer may include a container that is configured to hold various items. The container may also include an opening that allows access to the items. The apparatus may further include a cover layer that is configured to cover the opening of the container. The cover layer may include at least one bendable sensor placed over the opening of the container. The microprocessor may be configured to determine, using detected movements in the bendable sensor, whether the container has been opened.
Automated clinical documentation system and method
A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.
Automated clinical documentation system and method
A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.
Methods and systems of telemedicine diagnostics through remote sensing
A system for telemedicine diagnostics through remote sensing includes a computing device configured to initiate a communication interface between the computing device and a client device operated by a human subject, wherein the secure communication interface includes an audiovisual streaming protocol, receive, from at least a remote sensor at the human subject, a plurality of current physiological data, generate a clinical measurement approximation as a function of the change of a first discrete and a second discrete set of current physiological data, wherein generating further comprises receiving approximation training data correlating physiological data with clinical measurement data, training a measurement approximation model as a function of the training data and a machine-learning process, and generating the clinical measurement approximation as a function of the current physiological data and the measurement approximation model, and presenting the clinical measurement approximation to a user of the computing device using the secure communication interface.