Abstract: A system for communication of data is provided. The system includes a medical device. A data consuming device is positioned at a first network layer. An edge communication device is positioned at a second network layer. The edge communication device is in communication with the medical device to receive data from the medical device. The edge communication device has a profile. The profile defines a data format for the data and a communication path for transmitting the data between the network layers. A gateway device is configured to route the data from the edge communication device to the data consuming device via the communication path. The edge communication device is also configured to modify the data format to correspond to the data consuming device and to format the data according to the data format.

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 system and computer program are provided for computer aided diagnosis or monitoring of heart failure patients. The system and computer program obtain patient data representing measurements of a select and limited set of health indicators of a patient. A trained classifier is applied to the patient data to obtain a classification of the occurrence or degree of heart failure for the patient. The limited set of health indicators is specifically selected from a large set of health indicators which are known to be predictive of heart failure on the basis of a clinical study which demonstrated the accuracy of the classification using this select set.

Abstract: This invention describes how users can capture digital artifacts from any medical device using their mobile device. Some examples of medical devices included, but are not limited to a medical ID card, Medical ID bracelet, Electronic Medical Records, blood pressure machines, blood glucose, scales, inhalers, INR, prescription bottles and trays, pulse oximeter , etc.

Abstract: A medical information query system is provided. The medical information query system includes: a processor and a memory, wherein the memory is configured to store computer instructions: and the processor is configured to load the computer instructions and execute: receiving clinical data and acquiring query rules matched with the clinical data; and inquiring medical information corresponding to the query rules in a graphic database.

Abstract: A system including a range of motion module, a quality of sleep module, an overall module, and a control module. The range of motion module, subsequent to performing a procedure on a patient, determines a first range of motion score of the patient based on a signal generated by a sensor. The quality of sleep module, subsequent to performing the procedure on the patient, determines a first quality of sleep score or a first pain score based on the signal generated by the sensor. The overall module determines a combined score based on (i) the first range of motion score, and (ii) the first sleep score or the first pain score. The control module (i) determines whether an outcome of the procedure is positive based on the combined score, and (ii) stores the determined outcome and the combined score in a memory.

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 method includes providing, on a computing device, when a user of the device is authorized, a user interface including respective representations of first medication administration functions and second medication administration functions associated with storage of the one or more medications and, in response to determining that the computing device is within the first predetermined area, enabling the computing device to perform the one or more first medication administration functions associated with the first predetermined area to cause, responsive to a selection of a displayed representation of the one or more first medication administration functions, a respective electronic medication storage cabinet associated with the selected displayed representation to perform an operation regarding a physical storage of a medication associated with a patient of the one or more patients, and preventing the computing device from performing the one or more second medication administration functions not associated with

Abstract: Methods and systems for evaluating a proposed treatment plan for radiation therapy, for evaluating one or more delineated regions of interest for radiation therapy, and/or for generating a proposed treatment plan for radiation therapy. Machine learning based on historical data may be used.

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 system for physiologically informed therapeutic provisions includes a computing device configured to receive, from a remote device operated by a user, a conditional datum wherein the conditional datum contains a description of a current bodily complaint. The computing device is further configured to identify a plurality of antidotal therapeutic provisions, using a therapeutic clustering model wherein the therapeutic clustering model utilizes a conditional datum as an input and outputs antidotal therapeutic provisions. The computing device is further configured to locate a user biological extraction wherein the user biological extraction contains at least an element of user physiological data. The computing device is further configured to generate a compatibility model, wherein the compatibility model utilizes the antidotal therapeutic provisions and the user biological extraction as an input and outputs compatible antidotal therapeutic provisions.

Abstract: Systems and methods are provided for implementing a tool for evaluating an effect on an event, such as a medication or treatment, on a subject's condition, using a propensity model that identifies matched treatment and control cohorts within a base population of subjects. A propensity value threshold, which can be obtained based on user input, can be used to adjust the selection of subjects for treatment and control cohorts. The tool allows analyzing features of the subjects in the treatment and control groups, and further allows for evaluation and comparison of survival objectives of subjects in the treatment and control groups.

Abstract: System and computer-implemented method for detecting and categorizing pathologies through an analysis of pulsatile blood flow. The method has a pulsatile blood flow signal of a subject, extracting a set of features from the pulsatile blood flow signal; and categorizing a pathology based on the extracted features. The extracted features may be predetermined features or features learned through a machine learning algorithm. For the categorization, a classification or a regression algorithm may be used to provide an index or a value score as a biomarker. Additional static features of the subject may be used in the categorization.

Abstract: A method for presenting an interactive emergency department (ED) dashboard display for an ED at a user computing device is provided. The method may include presenting a plurality of user interface indicators on the interactive ED dashboard display at the user computing device. Each of the plurality of user interface indicators may correspond to a real-time performance metric for the ED, where the real-time performance metric is based on patient data for a plurality of patients in the ED. A user input may be received at the user computing device. The user input may indicate a selection of one of the plurality of user interface indicators. The method may further include, in response to the user input, presenting on the interactive ED dashboard display the patient data that is associated with the real-time performance metric corresponding to the selected one of the plurality of user interface indicators.

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: High-accuracy locating systems and methods are used for determining successful caregiver rounding, monitoring whether housekeepers have properly cleaned patient beds, or determining whether patients have ambulated sufficient distances during recovery. Patient beds having at least two locating tags are used for establishing patient care zones around the patient beds. Locating anchors and equipment tags are moved around a patient room to determine optimum locating anchor placement within the patient room based on signal quality values. A locating tag on a patient bed switches roles to operate as a locating anchor in response to the patient bed becoming stationary. A locating tag has a digital compass which is used to determine a field of good ranging relative to a front of a caregiver wearing the locating tag.

Abstract: A web-based interface enables medical personnel to remotely monitor medical devices. A monitoring system records operational data and alarms from the medical devices in a file. However, since network connections between the medical devices and the monitoring system are intermittent, the file does not contain a contiguous stream of data for each medical device. The file pauses recording during gaps in network connectivity. The system displays current data, as well as a list of alarms. If medical personnel wish to view more detail about an earlier time or one of the alarms, the system calculates where in the file the medical device data was recorded. This calculation accounts for the discontiguous nature of the data. The system uses times the network connection is made and broken to calculate an index into the file that corresponds to the time of the user-selected alarm.

Abstract: The subject matter disclosed herein relates to the control and utilization of multiple sensors within a device. For an example, motion of a device may be detected in response to receipt of a signal from a first sensor disposed in the device, and a power state of a second sensor also disposed in the device may be changed in response to detected motion.

Abstract: Systems, devices and methods are disclosed for a prescription-regulated software application and an associated medical device. In some aspects, a smart medicine-injection device (e.g., smart insulin pen) is configured to be in communication with a patient's companion device (e.g., smartphone) having a software application (prescription app) that serves the patient as a complimentary medical device to the smart medicine-injection device, in which only certain features and functionalities of the prescription app are fully operable based on device pairing with the smart medicine-injection device to unlock medical device capabilities only available to the patient through prescription.

Abstract: In a risk level assessment method for a plurality of clinical conditions as follows, a set of laboratory test results (32) are stored with time stamps for a patient, including at least one hematology test result and at least one arterial blood gas (ABG) test result. For each clinical condition, a risk level is determined for the clinical condition based on a clinical condition-specific sub-set of the stored set of laboratory test results. This determination is made conditional on the stored clinical condition-specific sub-set of laboratory test results being sufficient to determine the risk level. A time stamp is assigned to each determined risk level based on the time stamps for the laboratory test results of the clinical condition-specific sub-set of laboratory test results. A display device (44, 46) displays the determined risk level and the assigned time stamp for each clinical condition whose determined risk level satisfies a display criterion.