A Digital Family Care Tracking and Coordination (DFCTC) computing system associates a member with one or more care managers. The system stores member data on a cloud-based storage device. The one or more care managers are given access to the personal care data associated with the member via a mobile application. Member data includes medical information and relevant notes pertaining to a member's healthcare journey.

A Digital Family Care Tracking and Coordination (DFCTC) computing system associates a member with one or more care managers. The system stores member data on a cloud-based storage device. The one or more care managers are given access to the personal care data associated with the member via a mobile application. Member data includes medical information and relevant notes pertaining to a member's healthcare journey.

A method may include a method of automating processes for remote work. The method may include receiving, at a server, first login data from a client software application. The client software application may be executing on a user device of a remote worker user. The method may include authenticating the remote worker user based on the first login data. The method may include receiving, at the server, command data from the client software application. The command data may include data indicating to the server to launch a software application. The method may include launching, on the server, the software application. The method may include inputting, using a robotic process automation (RPA) process, second login data of the remote worker user into the software application. The method may include key site information, speech-to-text functionality, onboarding functionality, automated support, or activity logging.

A method may include a method of automating processes for remote work. The method may include receiving, at a server, first login data from a client software application. The client software application may be executing on a user device of a remote worker user. The method may include authenticating the remote worker user based on the first login data. The method may include receiving, at the server, command data from the client software application. The command data may include data indicating to the server to launch a software application. The method may include launching, on the server, the software application. The method may include inputting, using a robotic process automation (RPA) process, second login data of the remote worker user into the software application. The method may include key site information, speech-to-text functionality, onboarding functionality, automated support, or activity logging.

Embodiments of the disclosure provide systems and methods for processing unstructured texts in a medical record. A disclosed system includes at least one processor configured to determine a plurality of word representations of an unstructured text and tag entities in the unstructured text by performing a named entity recognition task on the plurality of word representations. The at least one processor is further configured to determine position embeddings based on positions of words in the unstructured text relative to positions of the tagged entities and concatenate the plurality of word representations with the position embeddings. The at least one processor is also configured to determine relation labels between pairs of tagged entities by performing a relationship extraction task on the concatenated word representations and position embeddings.

An automated tracking and analysis system is described. In some instances, the system may collect data describing an attribute of a participant, predict interventions related to the attribute of the participant, and generate personalized tracks relating to the interventions, each of which may include an action. In some instances, the system may assess a performance metric indicating a level of performance of the participant in the personalized tracks, compute a participant score for the personalized tracks using the performance metric; and issue a reward to the participant based on one or more of the participant score and the performance metric.

In this patent, an improved multi-user extended reality viewing technique is disclosed. A first user and a second user can be geographically separated and view the same volume. The first user can manipulate a virtual object and the second user can see the manipulated virtual object. A set of techniques are disclosed herein to cause the virtual object as it is presented to each user to be eye appealing and prevent dizziness and nausea.

A computer-executable application receives genetic test results for a genetic test a patient has undergone, an identifier for the genetic test, and an identifier for the genetic laboratory that performed the genetic test. The application identifies a format type of the genetic test results. When the format type is unstructured, the application performs an optical character recognition process to the genetic test results such that the format type of the genetic test results is semi-structured. When the format type is semi-structured, the application identifies a set of lexing and parsing rules assigned to the genetic test. The application generates processed genetic test results by applying the set of lexing and parsing rules to the genetic test results and stores the processed genetic test results in a data store. When the format type is structured, the application stores the genetic test results as the processed genetic test results in the data store.

An on-person portable device and/or app that allows for constant location monitoring of dementia patients is disclosed. Such a device and/or app also includes automated communication of facial recognition of persons proximally near such a patient as well as possible generation of certain music in response to patient status and/or location. The patient is provided the device and/or app for handling or wearing, such as a phone or pair of glasses, in order to follow location through GPS monitoring, and a reactive program therein that automatically views another person and provides an identification thereof coupled with a voice modulator within an earpiece or like device for memory stimulation pertaining to loved ones or friends, and the like. The same program may also provide the music response to comments, movement, or any other external stimuli to the subject patient, again, to evoke a memory stimulus, as well.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.