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: Certain embodiments provide systems, methods, and computer program products that administer pain management treatments remotely, according to a dynamic prescription. In some embodiments, the dynamic prescription provides for changes in a dosage of a medication or electrical stimulation, based for instance upon changes in the patient's pain tolerance level, biological indicators, or behavioral characteristics. In some embodiments, if it is determined that a dosage change is needed, the dosage change can be compared against the dynamic prescription to determine whether the dosage change is permitted within the scope of the dynamic prescription. In some embodiments, if the dosage change is determined to be outside what is permitted by the scope of the dynamic prescription, the updated dosage information can be provided to the patient's physician for authorization of the updated dosage.

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: Various embodiments of the present disclosure provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for monitoring a user's movement in real-time and providing or augmenting stimulation. For example, various embodiments provide techniques generating movement prediction profiles using movement prediction machine learning models and for use in conjunction with wearable devices.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive respiratory quality score assignment. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive respiratory quality score assignment using at least one of respiratory quality evaluation scoring machine learning models, explanation generation machine learning model, supplemental feature extraction machine learning model, and observed sensory data.

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: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing optimized equipment allocation. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform optimized equipment allocation using at least one of equipment evaluation scoring machine learning models, equipment optimized allocation machine learning models, and equipment history events.

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: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine learning to predict micropopulation risk scores and use the micropopulation risk scores to predict a composite risk score. The composite risk score and it associated attributes can be used to provide notifications/messages and provide dynamic content to a mobile app.

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 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: 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: 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 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: There is a need for solutions that perform predictive natural language processing with improved efficiency and/or accuracy. This need can be addressed by, for example, by detecting an anomaly condition in the service provider system based on affected user activity data items associated with the service provider system; determining affected user profiles, wherein each affected user profile is predicted to experience the anomaly condition; determining, for each group of affected user profiles, affected user intentions based user activity data items associated with the group of affected user profiles; generating a support communication for each affected user profile in the group of affected user profiles based on the affected user intentions for the group; and causing a transmission of each support communication to each affected user profile in the group of affected user profiles.

Abstract: Certain embodiments provide systems, methods, and computer program products that administer pain management treatments remotely, according to a dynamic prescription. In some embodiments, the dynamic prescription provides for changes in a dosage of a medication or electrical stimulation, based for instance upon changes in the patient's pain tolerance level, biological indicators, or behavioral characteristics. In some embodiments, if it is determined that a dosage change is needed, the dosage change can be compared against the dynamic prescription to determine whether the dosage change is permitted within the scope of the dynamic prescription. In some embodiments, if the dosage change is determined to be outside what is permitted by the scope of the dynamic prescription, the updated dosage information can be provided to the patient's physician for authorization of the updated dosage.

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.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine learning to predict micropopulation risk scores and use the micropopulation risk scores to predict a composite risk score. The composite risk score and it associated attributes can be used to provide notifications/messages and provide dynamic content to a mobile app.