Optum, Inc.

Unitedhealth Group Incorporated

Rama S Ravindranathan

Gregory J Boss

Jon Kevin Muse

Marilyn L Gordon

Guerino Bonetti

Ahmed Selim

Mostafa Bayomi

Marilyn Lisa Gordon

Ravi M Shanbhag

Patrick E Bergstrom

Rick A Hamilton

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.

Movement prediction machine learning models

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.

Machine learning techniques for optimized equipment allocation

Systems and methods are disclosed for processing forms to automatically adjudicate religious exemptions. The method includes receiving an input from a user to data fields of forms associated with a religious exemption request, wherein the input is in a first data format and includes location information, religious information, employment information, or demographic information associated with the user. Exemption-relevant features are determined from the input. A data object including the exemption-relevant features is generated. The exemption-relevant features are transformed into corresponding embeddings in a second data format, wherein the embeddings represent semantic relations between the exemption-relevant features. The authenticity of the data object is determined based on the embeddings using a classification model that has been trained using a plurality of embeddings representative of a plurality of exemption-relevant features. A notification is transmitted indicating an approval or a disapproval of the religious exemption request.

Systems and methods for processing forms for automated adjudication of religious exemptions

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.

Jugular venous pressure (JVP) measurement

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.

Systems, methods, apparatuses, and computer program products for administering pain management solutions remotely

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.

Electronic auscultation and improved identification of auscultation audio samples

Remote monitoring using an array of audio sensors and improved jugular venous pressure (JVP) measurement

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.

Machine learning for automatically providing notifications and providing content dynamically

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.

Systems and methods for sharing recorded medical data with authorized users

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.

Growing community of inventors

Basking Ridge, NJ, United States of America

Rama S Ravindranathan