Abstract: A wearable device can present virtual content to the wearer for many applications in a healthcare setting. The wearer may be a patient or a healthcare provider (HCP). Such applications can include, but are not limited to, access, display, and modification of patient medical records and sharing patient medical records among authorized HCPs.

Abstract: Systems and methods are provided for remote patient management and monitoring. The patient is monitored with a wireless sensor system connected to an application executing on a patient user computing device. The system continuously monitors physiological parameters, such as, but not limited to, blood oxygen saturation (SpO2), pulse rate, perfusion index, pleth variability index, and/or respiration rate from the photoplethysmograph. The system triggers alarms if the patient physiological data violates thresholds. Care providers review patient data and associated alarm(s) with graphical user interfaces.

Abstract: Methods, apparatuses, and systems for maintaining and controlling surgical tools are disclosed. For each surgical tool, a surgeon can give verbal commands which can result in feedback provided by a synthesized voice or the execution of an action as instructed by the verbal command. The tools are monitored during use to ensure the tools remain within their operating parameters. The system alerts the surgeon should the tools approach their operational limitations.

Abstract: Systems, methods and computer-readable media are provided for identifying patients having an elevated near-term risk of chronic kidney disease (CKD) progression, including predicting an individual's risk of progression to Stage 3 CKD within a future time interval, which may be up to 36 months. Based on the prediction, appropriate care providers may be notified so that the risk of CKD progression may be mitigated. In an embodiment, measurements of physiological variables are obtained, including serial measurements for uric acid levels from a longitudinal time series of serum or plasma samples spanning the previous two to five years. An annualized uric acid velocity of the patient is determined and used to generate a multivariable mathematical model for determining a likelihood of risk for developing Stage 3 CKD within 36 months.

Abstract: A method of controlling user equipment for a medical checkup and an apparatus for performing the method include controlling user equipment for a medical checkup the includes generating digital biomarker control data by a diagnosis server on the basis of prescription data, and transmitting the digital biomarker control data to user equipment by the diagnosis server, wherein the digital biomarker control data includes information for controlling a digital biomarker module of the user equipment.

Abstract: Embodiments of the invention provide decision support services, including an enhanced user interface. A reason for a clinical visit is determined and an initial workflow may be provided via the user interface during a clinical visit. The workflow may include a set of initial user interface elements that are determined based on a context associated with the clinical visit. The set of initial user interface elements may include a first initial interface element associated with a pre-identified clinical concept. During the clinical visit, a first suggested interface element can be provided. The first suggested interface element is generated during the workflow based on detecting a selection of the first initial interface element. The first suggested interface element can be associated with a first suggested clinical concept that is related to the pre-identified clinical concept.

Abstract: A system for improving cognitive ability includes a content providing module configured to provide a cognitive ability improving content; an input module configured to receive learning data of the user for the cognitive ability improving content; an analyzing module configured to calculate performance information of each of a plurality of cognitive areas based on the learning data; and a machine learning module configured to store a learning result by machine learning using a preset training data set and determine a characteristic of a cognitive ability improving content to be provided to a user by using the performance information of each of the plurality of cognitive areas and the learning result. According to the system for improving cognitive ability, it is possible to provide a content in the form of a comprehensive program including multi-area intervention important for dementia prevention and perform a customized dementia prevention function by reflecting individual characteristics.

Abstract: A mechanism is provided in a data processing system to implement a multi-sensor health monitoring platform. The mechanism applies a machine learning model to predict patient needs and patient activity trends based on physiological features and activity features of the patient. The mechanism applies the machine learning model to predict energy requirements for a plurality of medical sensors based on the predicted patient needs and patient activity trends. The mechanism schedules recharging of the plurality of medical sensors based on the predicted energy requirements and identifying one or more sensors to set to an activate state based on the predicted patient needs and patient activity trends. The mechanism collecting sensor data from the one or more sensors and applies the machine learning model to generate a point-of-care recommendation based on the collected sensor data.

Abstract: A dental formula information input method and a dental formula information input device for automatically inputting dental formula information about teeth are disclosed. The dental formula information input method creates a library from dental formula information about teeth universally used for prosthetic work, and then automatically inputs the dental formula information about teeth through one click on the basis of the library, thereby minimizing work steps and enabling an increase in the convenience and usability of a user inputting cases relating to prosthetic work.

Abstract: A trial operations service suite system and method in a clinical trial operations system with a patient portal providing patient-directed access to clinical trial operation services, a clinician portal providing clinician-directed access to the clinical trial operation service, and a coordinator portal providing coordinator-directed access to the clinical trial operation services, the coordinator portal also providing access to a trial design service wherein the trial design service is configured to allow a coordinator user to at least one of design, create, establish, and deploy a trial protocol and a participant interaction procedure, and a synchronization capability, synchronizing when online, information collected while a portal-supporting application is offline.

Abstract: Various embodiments provide for decentralized crowd sourced generation of recommendation data objects. An example apparatus receives, originating from an external computing device, a recommendation data object request, the recommendation data object request comprising a user identifier and one or more user attributes. The example apparatus may further retrieve, based on a predictive recommendation model, one or more therapy identifiers associated with a therapy efficacy score exceeding a therapy efficacy score threshold for attributes of a first attributes set associated with a first cluster identifier, the first attributes set comprising one or more of the one or more user attributes.

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 training data processing method and an electronic device are provided. The method includes: obtaining medical history data including at least one first disease suffered by a user; setting a plurality of disease types according to a target disease; setting a time interval; obtaining at least one second disease in the time interval from the medical history data; performing a pre-processing operation on the second disease according to the disease types to obtain processed data; and inputting the processed data to a neural network to train the neural network.

Abstract: An example of a system for post-case analysis of cardiopulmonary resuscitation (CPR) performance trends includes a ventilation metrics device with sensors configured to generate signals indicative of ventilation treatment data during a medical treatment of a patient, and a patient monitor/defibrillator configured to receive the signals, calculate the ventilation treatment data based on the received signals, and transmit the ventilation treatment data, and a remote computing device configured to communicatively couple with the treatment monitoring system and with an output display device, the computing device including at least one memory and at least one processor communicatively coupled to the memory, the at least one processor configured to receive treatment data from the treatment monitoring system, the treatment data including the ventilation treatment data, and provide case review information at a case review dashboard at the output device, the case review information including time trend plots of the ve

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: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: There is provided a method and a system for determining recommended multiple daily injections (MDI) therapy values for administering to a given subject. Consumed meals, insulin basal doses administered and insulin bolus doses administered to the given subject are received. An initial meal ratio parameter and an initial basal insulin dose used by the given subject are received. A predicted glucose concentration parameter is determined based on the consumed meals, the insulin basal dose, the insulin bolus doses, and the initial meal ratio parameter. An actual glucose concentration parameter is received. A set of optimal MDI therapy parameters are estimated using the predicted glucose concentration parameter, and the actual glucose concentration parameter.

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: An at-home medical diagnostic test kit container including a plurality of at-home medical diagnostic test kits is provided herein. In particular, the medical diagnostic test kit container may include a machine-readable code (e.g., QR code) configured to facilitate an augmented reality experience associated with the at-home medical diagnostic test kit container. In some embodiments, a testing and diagnostic platform may facilitate tracking of inventory within the at-home medical diagnostic test kit container and/or may facilitate coordination of prescription medication order fulfillment and delivery upon indication of a medical condition that could benefit from taking prescription medication.

Abstract: A system configured to receive health data pertaining to a user; select a user health profile from a plurality of user health profiles based on the collected health data, each of the plurality of user health profiles being associated with a health and wellness program and a set of interventions; receive user activity data and updated health data pertaining to, or during the user's participation in the associated health and wellness program from health devices; select a new set of interventions based on the user activity data; and select a new user health profile from the plurality of user health profiles based on at least one of the user activity data and the updated health data.