A method and system for initiating message listening and routing message content to authorized user devices is disclosed. For a second user device to receive notifications regarding records of a first user, the second user device provides information identifying the first user to a notification service. The notification service verifies the identifying information. The notification service initiates one or more listeners to listen for messages flowing over a messaging bus that are relating to the first user. Once a message is identified, at least a portion of the message is used to generate a notification that may be sent to the second user device.

A surgical item managing method for use in a smart operating room to manage a surgical item used during a surgical procedure is provided. The surgical item includes a flexible RFID tag. The method includes the steps of: obtaining an information about a position of the flexible RFID tag; photographing a patient to obtain a position of the patient; determining if the position of the flexible RFID tag and the position of the patient overlap, to determine if the position of the flexible RFID tag is in the body of the patient; and giving a warning when the position of the flexible RFID tag is in the body of the patient.

A surgical item managing method for use in a smart operating room to manage a surgical item used during a surgical procedure is provided. The surgical item includes a flexible RFID tag. The method includes the steps of: obtaining an information about a position of the flexible RFID tag; photographing a patient to obtain a position of the patient; determining if the position of the flexible RFID tag and the position of the patient overlap, to determine if the position of the flexible RFID tag is in the body of the patient; and giving a warning when the position of the flexible RFID tag is in the body of the patient.

A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.

A computing system according to an embodiment includes at least one processor and at least one memory comprising a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the computing system to determine a plurality of implant size predictions with associated confidence levels based on one or more patient or surgical parameters, wherein each of the implant size predictions identifies a confidence level that a prospective implant of a corresponding size will fit a patient, determine whether a combined confidence level determined based on a subset of the plurality of associated confidence levels is at least a threshold value, and recommend, in response to a determination that the combined confidence level is not at least the threshold value, incorporation of at least one of an additional implant size prediction of the plurality of implant size predictions in the subset or digital templating data to improve an accuracy of an implant size estimation.

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, computer program product, and computing system for receiving a notification that a patient has arrived to a telehealth session before the telehealth session begins. The notification is received via a computing device. In response to receiving the notification that the patient has arrived to the telehealth session before the telehealth session begins, information associated with the patient is automatically pulled by a virtual assistant. The patient is prompted by the virtual assistant to complete a task before the telehealth session begins. A question is received from the patient before the telehealth session begins. Patient data may be obtained from one or more sources. The obtained patient data is processed to determine if the patient data is indicative of a possible medical condition and the medical condition is provided to a medical professional. An answer to the question is provided. The answer is personalized to the patient.

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 example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.

An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.