Abstract: A device, system and method is provided for predicting risk of hypoglycemia and adjusting an insulin medicament dose size for a subject being on pen based multi-daily injections. A first algorithm is provided for computing a first insulin dose size based on a plurality of timestamped blood glucose (BG) measurements and insulin injected dose sizes. A risk prediction module is adapted to, based on machine learning algorithms, predict risk of hypoglycemia based on the timestamped BG measurements and calculate a second insulin dose size resulting in a non-hypoglycemic state. In case the second dose size is lower than the first dose size, the first dose size is automatically adjusted down to the second dose size and communicated as the recommended dose size to the subject.

Abstract: A method of predicting personal protective equipment (PPE) needs is disclosed. The method includes determining a number of PPE users, determining a first burn rate and a second burn rate for a type of PPE, obtaining a number of active patients for a disease and a number of resources, and determining a hospitalization rate for the disease. The method also includes determining a first (and/or a second) PPE rate for the type of PPE based on the number of PPE users, the first (and/or the second) burn rate for the type of PPE, the hospitalization rate for the disease, the number of active patients for the disease, and the number of resources. The method further includes determining an index PPE rate based on a pandemic risk index, the first PPE rate for the type of PPE, the second PPE rate for the type of PPE, and the first burn rate.

Abstract: Systems, methods and computer-readable media are provided for monitoring patients and quantitatively predicting whether an event, such as a significant change in health status meriting intervention, is likely to occur within a future time interval subsequent to computing the prediction. Medical data for a patient is collected from one or more different inputs and used to determine time series data. From this, a forecasted numerical value is computed for one or more physiologic parameters associated with the patient, which may be used to further monitor the patient and facilitate decision making about a need for intensified monitoring or intervention to prevent or manage deterioration of hemostasis. An evolutionary algorithm, such as particle swarm optimization and/or differential evolution, may be used to determine the most probable value of the one or more physiologic parameters at one or more future times.

Abstract: A first patient intervention is identified. The first patient intervention regards a first patient record that includes one or more attributes related to a first patient. The first patient intervention is transmitted to a first program split of a secure multi-party computation. A conflict is detected in the first patient intervention and an existing medical situation regarding the first patient. The conflict is detected by the first program split of the secure multi-party computation and by a third program split of the secure multi-party computation. Based on the detected conflict, a notification is generated by the first program split. The notification is based on the detected conflict. The notification based on the detected conflict is provided to a first client.

Abstract: Technologies and techniques for optimizing a patient overview in a user interface (UI), utilizing at least one processor. An optimize request is received including an optimization level from a user via the UI, selecting predetermined patient information associated with the received optimization level, and displaying an optimized patient overview containing the selected certain patient information to the user.

Abstract: Systems, methods, and GUIs are provided for visually communicating clinically relevant information in a manner that maintains context and trends across various sizes of user interfaces, such as smaller user interfaces on mobile devices. In an embodiment, a user interface may display a first timeline area with a first indication of a timespan that represents a portion of the timeline. The first indication of the timespan may be scrollable to change the portion of the timeline displayed. The first timeline area may further comprise a set of clinical diagnoses with corresponding duration indicators. The user interface may also display a second timeline area with a second indication of a timespan, which may mirror the first indication of the timespan. The second timeline area may further comprise a set of diagnostic parameters and associated measurements. The user interface may also present a medication area having lists of medications separated by classification.

Abstract: A system for classifying structured medical data, with each item of structured medical data, the system comprising a processing module that parses items of structured medical data to retrieve values of respective fields of the one or more items of structured medical data, the one or more retrieved values representing a set of medical attributes; a classification module that selects a classifier based at least one of the attributes in the set and applies the classifier to the set of attributes to classify one or more items of structured medical data into a particular risk profile; a user interface that renders one or more controls for input data that confirms one or more of the risk factors of the risk profile; and a transmitter to transmit to a remote medical device, an alert that specifies confirmation of the one or more of the risk factors.

Abstract: Disclosed is a method for setting authority for use of a brain stimulation device and a device implementing the same, and the method for setting authority for use of a brain stimulation device according to the present disclosure comprises the steps in which: a communication unit of a personal communication device receives, from a server device, a time token for which the authority for use of the brain stimulation device is set; the communication unit transmits the time token to the brain stimulation device or the server device; and after a time corresponding to the usage time of the brain stimulation device stored in the time token has elapsed, the communication unit receives, from the brain stimulation device or the server device, a message to delete the time token or to change the value of a specific field of the time token.