Abstract: The present disclosure provides a caregiver system and method for interfacing with and controlling an oral medication dispensing device. The system registers the caregiver and provides the caregiver a list of patients under the caregiver's care, as well as associated medication dose schedules for each of the one or more patients. The caregiver is provided reminders regarding doses and allowed to modify the dose schedule to generate a modified dose schedule. The modified does schedule is pushed to a patient system associated with a medication dispensing device.

Abstract: Systems and methods are disclosed for the utilization of personally identifiable information (PII) to identify an individual while de-identifying the associated data through tokenization. A method includes receiving, at a main tokenizer and from a first trading partner, a first data set comprising a first subset of a plurality of PII fields corresponding to an individual, receiving, at the main tokenizer and from a second trading partner, a second data set comprising a second subset of the plurality of PII fields corresponding to the individual, resolving, a the main tokenizer, the individual, linking a unique patient-centric token (PCT) to the individual based on the resolving, and outputting the PCT for generating a non-PII token linked to the individual.

Abstract: Methods and systems for providing health professionals with continued education are based on performance gaps identified from patient data available in transactional systems of record. The methods can include creating a repository of educational material, measuring patient and team level performance gaps, associating the identified performance gaps with appropriate educational material, alerting the person about the appropriate educational material, capturing a user's interaction with the educational materials, and issuing credits or rewards for substantial consumption of the educational materials.

Abstract: A method and system addresses the circumstance where a lack of confidence in the impairment rating has arrested the impairment rating process and additional data collection is no longer possible. One or more incomplete data sets are compared to and corrected with a high accuracy database containing reviewed historical impairment data. An analysis of the data outputs a temporary impairment rating and a recovery score index, which yields a corrected and substantially accurate impairment rating report which can be used within the managed impairment repair process as the worker's compensation claim moves toward claim closure.

Abstract: A method of obtaining a clinical assessment of a user of a user device may include obtaining, by the user device and from a hand-held diagnostic device configured to communicate with the user device, first diagnostic information of the user obtained by one or more sensors of the hand-held diagnostic device; obtaining, by the user device, second diagnostic information based on a user input of the second diagnostic information via the user device; obtaining, by the user device and using an artificial intelligence (AI) model, the clinical assessment based on the first diagnostic information and the second diagnostic information; and displaying, by the user device, the clinical assessment to permit the user to visualize the clinical assessment.

Abstract: A multi-sided match making (“MMM”) computer system including at least one processor in communication with at least one memory device for matching consumers to providers is provided. The at least one processor is configured to: (i) receive registration data from a user, (ii) receive user data from at least one of a sensor and a mobile device associated with the user, (iii) analyze the registration data and the user data, (iv) determine a need based upon the analyzed registration and user data, (v) transmit the determined need to at least one caregiver associated with the user, and (vi) match the user to at least one provider based upon the determined need, wherein the provider is at least one of the caregiver, another caregiver, and a service, and wherein the provider is able to meet the determined need for the user.

Abstract: Various implementations disclosed herein include devices, systems, and methods for monitoring engagement associated with pharmaceutical articles. In various implementations, a device includes a non-transitory memory and a processor coupled with the non-transitory memory. In some implementations, a method includes obtaining engagement data indicating engagement associated with a pharmaceutical article. In some implementations, the method includes identifying a plurality of topics associated with the pharmaceutical article. In some implementations, the method includes determining respective comprehension scores for the plurality of topics based on the engagement data. In some implementations, the method includes recommending a set of one or more media content items related to a subset of the plurality of topics based on the respective comprehension scores for the plurality of topics.

Abstract: A system and method to authorize requests for procedures or medical claim requests is described. In one aspect, datasets from multiple data sources, including historical authorizations associated with various medical claims, are processed. The machine learning engines and the machine learning models are trained based on the received data. Simultaneously, real-time authorization requests are received and analyzed from secondary data sources. Each request is split into service requests based on second attributes, which include identifiers linked to services. The services are encoded using fixed-length encoding, and unique numeric identifiers are assigned to categorical variables. For each encoded service request, contexts, actions, and decisions are determined by comparing the first attributes of historical authorization requests with the second attributes of real-time requests.

Abstract: A system includes a computing device a personal protective equipment (PPE) device. The PPE device is configured to be worn by a worker and includes and at least one physiological sensor configured to generate physiological data indicative of one or more physiological characteristics of a worker. The computing device is configured to determine a safety risk score for the worker based at least in part on the physiological data and a risk profile associated with the worker.

Abstract: Systems, apparatuses, and methods related to medical device data analysis are described. In some examples, a medical device is implanted in a user of the medical device and the data generated by the medical device is not easily accessible to the user. In an example, a controller can be configured to receive, by a mobile device coupled to a medical device, data from the medical device, where the data is a part of a baseline dataset related to the medical device. The controller can be configured to receive different data from the medical device, where the different data is received from the medical device as the different data is generated by the medical device, analyze the data from the medical device and the different data generated by the medical device, and perform an action based on the analyzed data and the different data generated by the medical device.

Abstract: Graphical user interfaces for use with extracorporeal blood treatment systems may include a plurality of mini settings cards corresponding to a plurality of settings cards. The mini settings cards may display one or more user-interactable settings, and may be selected to display the corresponding settings card. Further, each settings card may be accessed in other ways to selection of mini settings card such as, for example, by selection of a process feature graphical element corresponding the settings card.

Abstract: Methods and systems for transferring at least one data set between a dental or dental-surgical treatment or diagnosis device and an external memory element located outside the dental or dental-surgical treatment or diagnosis device, wherein the at least one data set is transferred in a web-based manner via the Internet and a cloud computing network comprising the external memory element. A corresponding dental or dental-surgical treatment or diagnosis system comprises a dental or dental-surgical treatment or diagnosis device and a transmitting and receiving device for communicatively connecting to a remote-control human-machine interface. The transmitting and receiving device is designed for providing a web-based connection via the Internet and a cloud computing network to the remote-control human-machine interface.

Abstract: A medical diagnostic kit are described. In one example, a medical diagnostic kit includes a container, and a plurality of medical diagnostic test kits located within the container. Each of the plurality of medical diagnostic test kits can include equipment necessary to perform a particular self-administered medical diagnostic test. The plurality of medical diagnostic test kits can include at least a first medical diagnostic kit adapted to facilitate user completion of a first medical diagnostic test and a second medical diagnostic kit adapted to facilitate user completion of a second medical diagnostic test different from the first medical diagnostic test. The container can include a machine-readable code located on an external surface of the container.

Abstract: A registration apparatus is configured to access a network formed of a set of first nodes and first edges, the first nodes each representing a first feature vector including a plurality of elements, the first edges each coupling two first nodes representing two first feature vectors to each other based on two first feature vectors, a processor in the registration apparatus is configured to execute: obtaining processing of obtaining a second feature vector; and registration processing of registering a second node representing the second feature vector to the network based on a similarity relationship among third feature vectors in a set of third feature vectors included in the set of first feature vectors, and coupling the second node and a third node representing the third feature vector to each other with a second edge, the number of third feature vectors being smaller than the number of first feature vectors.

Abstract: A medical diagnostic kit are described. In one example, a medical diagnostic kit includes a container, and a plurality of medical diagnostic test kits located within the container. Each of the plurality of medical diagnostic test kits can include equipment necessary to perform a particular self-administered medical diagnostic test. The plurality of medical diagnostic test kits can include at least a first medical diagnostic kit adapted to facilitate user completion of a first medical diagnostic test and a second medical diagnostic kit adapted to facilitate user completion of a second medical diagnostic test different from the first medical diagnostic test. The container can include a machine-readable code located on an external surface of the container.

Abstract: A location-based medical scan analysis system is operable to generate a generic model by performing a training step on image data of a plurality of medical scans. Location-based subsets of the plurality of medical scans are generated by including ones of the plurality of medical scans with originating locations that compare favorably to location grouping criteria for the each location-based subset. A plurality of location-based models are generated by performing a fine-tuning step on the generic model, utilizing a corresponding one of the plurality of location-based subsets. Inference data is generated for a new medical scan by utilizing one of the location-based models on the new medical scan, where an originating location associated with the new medical scan compares favorably to location grouping criteria for the location-based subset utilized to generate the location-based model. The inference data is transmitted to a client device for display via a display device.

Abstract: A computer-implemented method, system, and computer program product are provided for determining cognitive issues. The method includes building, by a processor device with social network data, a patient model for social interactions between a patient and other people. The method also includes computing, by the processor device, changes between the patient model and new social network data. The method additionally includes evaluating, by the processor device, the changes between the patient model and new social network data to generate evaluated changes. The method further includes determining, by the processor device, a patient metric score responsive the evaluated changes. The method also includes controlling an operation of a processor-controlled device responsive to the patient metric score.

Abstract: A medical diagnostic kit are described. In one example, a medical diagnostic kit includes a container, and a plurality of medical diagnostic test kits located within the container. Each of the plurality of medical diagnostic test kits can include equipment necessary to perform a particular self-administered medical diagnostic test. The plurality of medical diagnostic test kits can include at least a first medical diagnostic kit adapted to facilitate user completion of a first medical diagnostic test and a second medical diagnostic kit adapted to facilitate user completion of a second medical diagnostic test different from the first medical diagnostic test. The container can include a machine-readable code located on an external surface of the container.

Abstract: Provided are an information processing apparatus, an information processing method, and a program capable of accumulating appropriate relearning data. An information processing apparatus includes an input unit that inputs input data to a learned model acquired in advance through machine learning using learning data, an acquisition unit that acquires output data output from the learned model through the input using the input unit, a reception unit that receives correction performed by a user for the output data acquired by the acquisition unit, and a storage controller that performs control for storing, as relearning data of the learned model, the input data and the output data that reflects the correction received by the reception unit in a storage unit in a case where a value indicating a correction amount acquired by performing the correction for the output data is equal to or greater than a threshold value.

Abstract: A first set of user data is received and a user profile is constructed based on the user data and in accordance with a sensitive service involving the user. A situational context is analyzed based on the first set of data. Personalized questions are generated, responsive to the user profile and to the situational context. The personalized questions are presented to a user corresponding to the user data and responses to same are received, including detection of user micro-expressions. The responses are analyzed, according to one or more machine learning models. A neural network model selects an action to be performed in response to analyzing the responses from the user; the action is a sensitive service involving the user. An apparatus is triggered to send a simple message service (SMS) message to a point of care service professional; the message recommends performance of the sensitive service on the user.