Abstract: An estimate of a functional capacity such as VO2Max is made by applying the vital signs of a monitored human to a trained encoding neural network producing a cardio profile vector. The vector is applied to a trained functional capacity (VO2Max) neural network to estimate the functional capacity. Once estimated, an action is taken.

Abstract: A health safety and status system, implemented at least in part as an at-home test kit, may be employed for determining a presence of a virus in an individual. The test kit includes a test strip, which in turn includes an embedded data object having a unique identification of the test strip. The test strip further includes a test sample collection patch configured to receive a test sample from the individual. The application is configured to be resident on a host machine. The application includes machine instructions that when executed by a processor of the host machine, control the host machine to capture the content of the embedded data object, control the host machine to capture an indication of the test sample, and control the host machine to transmit the content and the indication of the test sample to a processing facility of the health safety and status system.

Abstract: Described are systems and methods for generating sleep scores based at least in part on the visual appearance of hypnograms. The disclosed implementations generate an embedding vector representative of the visual appearance of a hypnogram and utilize that embedding to determine a sleep score of the sleep session represented by the hypnogram. For example, a deep neural network, such as a convolutional neural network (“CNN”), may be trained with input data that includes hypnograms that have been labeled according to their sleep quality, or sleep score. The trained network may then be provided with an unlabeled hypnogram, generate an embedding representative of that hypnogram, and determine a sleep score corresponding to that hypnogram.

Abstract: A method of acute stressors detection includes obtaining, by a processor, heart rate variability (HRV) data determined based on an HRV-related metric associated with an individual; determining, based on the HRV data, whether an HRV event indicative of a maladaptation risk of the individual has occurred; and responsive to determining that the HRV event indicative of the maladaptation risk of the individual has occurred, using a causal inference engine to determine at least one acute stressor as a probable cause of the HRV event based on inputs comprising the HRV event and lifestyle data associated with the individual, wherein the lifestyle data comprises at least one lifestyle event and environmental contexts associated with the at least one lifestyle event performed by the individual.

Abstract: A system and method providing a dental patient user interface to allow a patient to accurately scan existing patient dentures to provide a digital image for use by a provider to assess the needs and interests of the patient prior to a visit to then provide treatment facilitating/smile preview devices for use at the initial visit.

Abstract: A method for generating and managing one or more tasks associated with a medical device includes receiving, by a medical device task generation and management system, patient data associated with a patient, receiving, by the system, device data associated with the medical device, and generating, by the system, one or more tasks based on the device data, each task of the one or more tasks including a due date, a due time, and task data. The method further includes providing, by the medical device task generation and management system, an indicator for each of the one or more tasks, the indicator providing an indication of a completion status of each task based on the due date and due time of the task, and determining, by the medical device task generation and management system, that at least one of the one or more tasks has been completed.

Abstract: A health status platform includes a receiving component that receives a test result a test of a biological sample collected from a human patient. The test result includes an indication of a presence of an infectious disease in the patient, and an identification and a verification of the patient. The platform includes a certificate component that issues a certificate of origin of the biological sample; and a data merging component that cooperates with a venue access manager that controls access to a venue. The data merging component implements a distributed ledger system that stores encrypted test results of the patient and the identification and verification of the patient, and an end-to-end encryption system that receives an encrypted venue access request from a venue access manager, decrypts the access request, determines if an access request is valid, and if valid, provides an encrypted certificate of origin to the venue access manager.

Abstract: Apparatus and associated methods relate to management of therapeutic digital assets in a non-medical environment. In an illustrative example, non-medical digital asset(s) (NMDAs) may be evaluated relative to one or more therapeutic modalities. A corresponding therapeutic digital asset (TDA) may, for example, be generated for each therapeutically associated NMDA. The TDA may, for example, be traceably associated with corresponding risks and/or risk mitigations. Each TDA may be associated, for example, with a test profile corresponding to a risk and/or risk mitigation. A TDA may be released into a non-medical digital content delivery environment (DCDE), for example. The TDA may, for example, be monitored in the DCDE to maintain verification and/or validation (VV). A change in the DCDE affecting VV of the TDA may, for example, result in deactivation of the TDA in the DCDE. Various embodiments may advantageously permit VV of selected digital assets in a non-medical environment.

Abstract: Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients.

Abstract: Techniques for improved sensor monitoring using machine learning are provided. An elopement likelihood indicating a probability of elopement for a patient in a care setting is generated by processing first patient data using a trained machine learning model. One or more sensor devices are enabled in response to determining that the elopement likelihood exceeds a threshold. Second patient data is collected for the patient using the enabled one or more sensor devices. An intervention for the patient is selected based on the second patient data, and the intervention is enacted.

Abstract: A vaccine system implementing a secure vaccine service to provide vaccine accounts for users, includes a display and user interface component providing user access to the vaccine service; a communications component providing third-party access to the vaccine service; a processor; and a non-transitory, computer readable storage medium having encoded thereon, machine instructions for operating the vaccine service. The processor executes the machine instructions to establish a secure vaccine account for the user, receive a vaccine transaction on behalf of the user, the vaccine transaction including a vaccine data package. The vaccine data package includes certified data for one or more vaccines administered to the user, the vaccine transaction provided by a medical facility administering the vaccines. The processor assigns a hash to the received vaccine transaction, and stores the hash and the vaccine data package in a block in a distributed ledger-architected database.

Abstract: Methods and systems are disclosed for automated and continuous instrument tracking and management thereof. The method includes receiving a list of medical tools or instruments, associating each medical tool within the list a status, monitoring information associated with a radio frequency identification (RFID) associated with a first medical tool, wherein the monitoring is executing using a plurality of sensors, detecting a presence of the first medical tool based upon the monitoring; and changing the status associated with the first medical tool based upon the detecting.

Abstract: A method for detecting diversion may include identifying an activity pattern associated with a clinician as being an infrequent activity pattern that occurs below a threshold frequency. Whether the infrequent activity pattern corresponds to an anomalous behavior may be determined based at least on one or more data models. The infrequent activity pattern may include a series of transaction records, which may be matched to the reference transaction values included in each of the one or more data models. An investigative workflow may be triggered in response to the infrequent activity pattern being determined to correspond to the anomalous behavior. Related methods and articles of manufacture are also disclosed.

Abstract: Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients.

Abstract: A sensing device monitors and tracks food intake events and details. A processor, appropriately programmed, controls aspects of the sensing device to capture data, store data, analyze data and provide suitable feedback related to food intake. More generally, the methods might include detecting, identifying, analyzing, quantifying, tracking, processing and/or influencing, related to the intake of food, eating habits, eating patterns, and/or triggers for food intake events, eating habits, or eating patterns. Feedback might be targeted for influencing the intake of food, eating habits, or eating patterns, and/or triggers for those. The sensing device can also be used to track and provide feedback beyond food-related behaviors and more generally track behavior events, detect behavior event triggers and behavior event patterns and provide suitable feedback.

Abstract: A method, computer system, and computer program for improving communication between a patient and a provider are described. The method, computer system and computer program perform a method that includes: obtaining data related to the health state of a patient; associating a timestamp with the data, encrypting the data and writing the data to a computer readable medium, determining whether the data is in a pre-configured range, and responsive to determining that the data is not in the pre-configured range, sending an alert to a client. This method also includes obtaining a response from the client and writing the response to the computer readable medium, where the response includes a medical recommendation based on the data.

Abstract: In some variations provided herein, a system for deep brain stimulation includes an implantable device that acquire and store neural activity signal records and apply electrical stimulation. The system further includes a personal controller device that establishes a first wireless connection to the implantable device. The personal controller device transmits power to the implantable device, and the implantable device transmits neural activity signal records to the personal controller device over the first wireless connection. The system further includes a clinician programmer device that receive the neural activity signal records from the implantable device by establishing a second wireless connection based on activation of the first wireless connection. The clinician programmer device sets one or more stimulation parameters based on the neural activity signal records.

Abstract: The disclosure is concerned with privacy and integrity of personalized protected health information when transmitted to a cloud computing facility and subsequently distributed to a plurality of stakeholders. An electronic unit of a drug delivery device is configured to prepare payload data comprising data items according to an allocation scheme, and to encrypt, based on an encryption key, and transmit data including the payload data. The allocation scheme and the encryption key are defined for each of a plurality of data subscribers. Accordingly, personalized protected health information payload data is suitably protected with generator-to-subscriber or pass-through data security measures, and any intermediary node or data server in the communication network lacking a matching decryption key will not have access to unencrypted payload data.

Abstract: Methods and non-transitory machine-readable media associated with treatment plan identification are described. Treatment plan identification can include receiving first signaling configured to monitor user health data and receiving second signaling configured to monitor user behavior data. Treatment plan identification can include writing data that is based at least in part on a combination of the first signaling and the second signaling and identifying output data representative of a treatment plan for the user based at least in part on input data representative of the written data and additional user data. Output data representative of the treatment plan can be transmitted to a computing device accessible by the user, a computing device accessible by a provider, or both.

Abstract: A cloud-based application generates food product recommendations in support of medical nutritional therapy. The recommendations are calculated based on at least one patient-specific nutritional prescription and extended ingredient data that identifies food product ingredients or nutritional calculations that do not appear on packaging labels. The patient-specific nutritional prescription is calculated based on a patient profile and at least one nutritional prescription template. The recommendations may be used to perform a pantry makeover in which harmful food products are removed from household food storage and beneficial food products are added to household food storage. Recommendations may be calculated in real-time for food products that are identified during food shopping. Less harmful alternative food products are identified and suggested.