Abstract: A controller for an artificial heart enables activity-specific adjustments to the operation of an artificial heart by obtaining sensor data from a plurality of sensors monitoring characteristics of a patient's body, and using the sensor data as input to one or more control parameter models for identifying control parameters to be provided to the artificial heart to adjust the operational parameters of the artificial heart. The controller is in wireless communication with the artificial heart via an application program interface (API)-based communication channel that facilitates communication between the controller and the artificial heart. Moreover, a cloud-based management computing entity may be utilized to train and/or execute one or more models to enable real-time updates to the operational characteristics of the artificial heart to enable the artificial heart to appropriately accommodate activities of the patient.

Abstract: Data ownership of a single record data object comprising a plurality of individual data elements may be distributed across a plurality of users, such that each individual user is capable of separately controlling access to those data elements for which the data owner has ownership privileges. These data ownership privileges, and corresponding access rights which may be individually provided by distinct data owners, is managed by a data management computing entity such that a single composite user interface may be generated for a user viewing a particular record data object such that the viewer is provided with viewing access to only those data elements for which the viewer has access. Thus, separate user interfaces may be generated and provided for different viewers accessing the same record data object.

Abstract: An example method comprises determining, by a computing system, that a message-sending computing device has received an indication of user input indicating an intent to send a message to a user of a message-recipient computing device; prior to the message being delivered to the message-recipient computing device, calculating, by the computing system, a screen sharing risk score (SSRS) that indicates a risk that the message-recipient computing device is currently sharing screen content of a screen of the message-recipient computing device with a screen-recipient computing device associated with an untrusted screen-recipient user; and based on the SSRS indicating that the risk is above a risk threshold, causing the message-sending computing device to output an alert indicating that the message-recipient computing device is possibly sharing the screen content of the message-recipient computing device with the screen-recipient computing device associated with the untrusted screen-recipient user.

Abstract: A method comprises obtaining a video stream of a first party who is engaging with a second party in a telemedicine session; determining statuses of one or more privacy aspects of a first party environment, wherein the privacy aspects of the first party environment are aspects of the first party environment that have a potential to compromise privacy of sensitive information provided by the second party to the first party during the telemedicine session; and causing a second party computing device to present a user interface of a telemedicine facilitation application, wherein the user interface of the telemedicine facilitation application includes the video stream of the first party and also includes a set of one or more notifications, wherein each of the one or more notifications indicates the status of a different one of the privacy aspects of the first party environment.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing splinting activity detection. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform splinting activity detection using at least one of splinting activity detection machine learning models, observed inspiration-expiration waveform pattern, and expected inspiration-expiration waveform patterns.

Abstract: Embodiments of the invention provide apparatuses, systems, and methods for more accurate remote monitoring of a user's body. In some embodiments, a system for monitoring a user's body comprises a wearable device, a video sensor attached at a collar portion of the wearable device, a plurality of audio sensors spaced and attached at a body portion of a wearable device and a controller configured to determine a Jugular Venous Pressure (JVP) of the user, and determine audio characteristics of an output of the plurality of audio sensors to generate an audio heat map corresponding to at least one internal organ of the user.

Abstract: A method comprising determining, by a processing system, based on a first oral gesture detected by an intra-oral device located in a mouth of a user, an intended communication partner from among a plurality of available communication partners; determining, by the processing system, a message based on a series of one or more second oral gestures detected by the intra-oral device; and sending, by the processing system, the message to a communication device associated with the intended communication partner.

Abstract: A system includes sample containers and a computing system. The sample containers include one or more data storage media configured to store sample information relating to the respective sample contained in each sample container. The sample information include data indicating a sample type, an intended use of the sample contained within the respective sample container, and a sample collection time. The computing system is configured to receive the sample information from the sample containers and determine, based on the sample information, an action for increasing a likelihood that one or more applicable samples of the plurality of samples will be viable for the intended uses of the applicable samples. The computing system is further configured to perform the action.

Abstract: Various methods and systems for selectively and securely sharing user data to a facility in order to accommodate the specific needs of the user. The methods further correspond to receiving, from a computing entity, geographic location information corresponding to the geographic location of the computing entity which is associated with the user and transmitting a notification to the computing entity of a facility in proximity to the geographic location of the computing entity. The methods further include receiving, from the facility, a request for user data associated with the user of the computing entity that is applicable to the facility, generating a proposed user dataset in response to the request that satisfies the facility-specific user data parameters and transmitting the proposed user dataset that meets the facility-specific user data parameters for sharing with the facility when a relevance score exceeds a relevance threshold value and the sharing eligibility is approved.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and/or computing entities for causing a medication dispensing device to generate electronic user notifications.

Abstract: Embodiments of the invention provide apparatuses, systems, and methods for more accurate remote monitoring of a user's body. In some embodiments, a system for monitoring a user's body comprises a wearable device, a video sensor attached at a collar portion of the wearable device, a plurality of audio sensors spaced and attached at a body portion of a wearable device and a controller configured to determine a Jugular Venous Pressure (JVP) of the user, and determine audio characteristics of an output of the plurality of audio sensors to generate an audio heat map corresponding to at least one internal organ of the user.

Abstract: Embodiments of the invention provide methods for identifying suspect heart or lung sounds and methods for generating an isolated sound sample. In some embodiments, a method for identifying suspect heart or lung sounds comprises obtaining, by processing circuitry, an instance of data samples comprising at least two audio samples and respiratory and/or cardiac cycle data, the audio samples comprising auscultation sounds of an individual, based on the respiratory and/or cardiac cycle data, processing the at least two audio samples to generate a plurality of sound samples, identifying a primary sound sample, generating at least one of a modified secondary sound or a modified baseline sample and combining the modified secondary sound sample or the modified baseline sample with the primary sound sample to generate an isolated sound sample.

Abstract: There is a need for more accurate and more efficient optimized delivery prediction operations. This need can be addressed by, for example, techniques for performing a plurality of optimized drug need prediction iterations in order to generate corresponding optimized delivery predictions. In one example, a method includes: performing a plurality of optimized drug need prediction iterations, wherein: each optimized drug need prediction iteration of the plurality of optimized drug need predictions is configured to generate an optimized delivery prediction for the optimized drug need prediction iteration; and performing the optimized drug delivery based at least in part on each optimized delivery prediction for an optimized drug need prediction iteration of the plurality of optimized drug need predictions.

Abstract: Systems and methods are configured to perform machine-learning-based predictive behavioral response. In various embodiments, one or more behavioral monitoring data objects are identified and processed using a behavioral pattern prediction machine learning model to generate a behavioral pattern prediction model. The behavioral pattern prediction model is processed using a risk generation machine learning model to generate a risk model, wherein: (i) the risk generation machine learning model is generated based at least in part by one or more risk factors, and (ii) the risk model comprises a per-risk factor score for each risk factor of the one or more risk factors. The risk model is processed using an adjustment generation machine learning model to generate an adjustment model and one or more prediction-based actions are performed based on the adjustment model.

Abstract: Systems and methods are configured for maintaining identifying data of a first user in association with a personal device of the first user; maintaining a rolling recording of medical data generated at the personal device of the first user, wherein the rolling recording encompasses data generated during a defined duration of time; receiving a request to access the medical data from a second device, wherein the request comprises authorization credentials associated with the second device; and upon verification that the authorization credentials are associated with an authorized user, providing, to the second device, access to the rolling recording of medical data generated at the personal device of the first user.

Abstract: There is a need for more reliable and efficient performing predictive data analysis to generate optimal testing arrangements. This need can be addressed by, for example, solutions for performing for probabilistic testing optimization.

Abstract: Data ownership of a single record data object comprising a plurality of individual data elements may be distributed across a plurality of users, such that each individual user is capable of separately controlling access to those data elements for which the data owner has ownership privileges. These data ownership privileges, and corresponding access rights which may be individually provided by distinct data owners, is managed by a data management computing entity such that a single composite user interface may be generated for a user viewing a particular record data object such that the viewer is provided with viewing access to only those data elements for which the viewer has access. Thus, separate user interfaces may be generated and provided for different viewers accessing the same record data object.

Abstract: Various methods and systems for selectively and securely sharing user data to a facility in order to accommodate the specific needs of the user. The methods further correspond to receiving, from a computing entity, geographic location information corresponding to the geographic location of the computing entity which is associated with the user and transmitting a notification to the computing entity of a facility in proximity to the geographic location of the computing entity. The methods further include receiving, from the facility, a request for user data associated with the user of the computing entity that is applicable to the facility, generating a proposed user dataset in response to the request that satisfies the facility-specific user data parameters and transmitting the proposed user dataset that meets the facility-specific user data parameters for sharing with the facility when a relevance score exceeds a relevance threshold value and the sharing eligibility is approved.

Abstract: Systems and methods are configured for maintaining identifying data of a first user in association with a personal device of the first user; maintaining a rolling recording of medical data generated at the personal device of the first user, wherein the rolling recording encompasses data generated during a defined duration of time; receiving a request to access the medical data from a second device, wherein the request comprises authorization credentials associated with the second device; and upon verification that the authorization credentials are associated with an authorized user, providing, to the second device, access to the rolling recording of medical data generated at the personal device of the first user.

Abstract: There is a need for more effective and efficient medical event processing. This need can be addressed by, for example, solutions for performing/executing performing temporally dynamic medical event processing. In one example, a method comprises determining a medical need condition of a patient profile; determining a temporally dynamic service quality model for each available service option associated with the patient profile; determining, based at least in part on the medical need condition and each temporally dynamic service quality model for an available service option of, an optimal service option for the medical need condition; and performing service delivery actions by communicating with at least one of a patient computing entity associated with the patient profile and a provider computing entity associated with the optimal service option.