Abstract: Provided are methods for generating a workflow of a healthcare professional and methods of generating graphical user interfaces (GUI) that display the workflow of the healthcare professional. A workflow of a healthcare professional may include an ordered list of healthcare events associated with the healthcare professional. Each healthcare event in the ordered list may request the attention of the healthcare professional or may provide an indication that the healthcare professional should complete some associated work. Healthcare events may include tasks for the healthcare professional, alerts such as new lab results for patients, scheduled appointments with patients, or appointment requests from patients. The workflow may provide a healthcare professional with, in one user interface all, substantially all, or a majority of the healthcare events that the healthcare professional should be aware to perform their job.

Abstract: An automated neuromodulation system which uses patient feedback during a training phase in combination with machine learning to automatically provide optimal nerve stimulation parameters based on the patient's needs without patient input. The automated neuromodulation system generally includes a lead which is implanted in a patient for treatment of a wide range of conditions, such as chronic pain. The patient is provided with a remote control through which the patient may provide either positive or negative feedback relating to how the patient is responding to electrical stimulation in different situations. A control unit monitors feedback from the patient as well as information and data from the time of feedback, such as the patient's position, orientation, speed of movement, or other considerations. Using machine learning, the control unit may process the feedback and data to formulate an optimized neuromodulation protocol and criteria which may be automatically applied to the patient.

Abstract: Systems and methods for integrating a continuous glucose sensor, including a receiver, a medicament delivery device, and optionally a single point glucose monitor are provided. Manual integrations provide for a physical association between the devices wherein a user (for example, patient or doctor) manually selects the amount, type, and/or time of delivery. Semi-automated integration of the devices includes integrations wherein an operable connection between the integrated components aids the user (for example, patient or doctor) in selecting, inputting, calculating, or validating the amount, type, or time of medicament delivery of glucose values, for example, by transmitting data to another component and thereby reducing the amount of user input required. Automated integration between the devices includes integrations wherein an operable connection between the integrated components provides for full control of the system without required user interaction.

Abstract: Aspects of the present disclosure relate to systems, devices and methods for performing a surgical step or surgical procedure with visual guidance using a head mounted display with systems, techniques and methods for improving the accuracy of an augmented reality display and/or for enhancing the 3D visualization of an augmented reality display.

Abstract: A syringe includes a plunger having multiple sections of differing diameters or materials, and a barrel with a cavity into which the plunger is inserted. The barrel includes a first probe and a second probe opposite to one another such that an interior volume of the barrel is radially between the first and second probes. A microcontroller is configured to measure a capacitance between the first and second probes, with the measured capacitance having a first capacitance value when the first section of the plunger shaft is between the first and second probes and a second capacitance value different from the first capacitance value when a second section of the plunger shaft is between the first and second probes. The microcontroller is configured to determine that an injection has been completed when the second capacitance value is measured.

Abstract: A method (100) for generating a textual description of a medical image, comprising: receiving (130) a medical image of an anatomical region, the image comprising one or more abnormalities; segmenting (140) the anatomical region in the received medical image from a remainder of the image; identifying (150) at least one of the one or more abnormalities in the segmented anatomical region; extracting (160) one or more features from the identified abnormality; generating (170), using the extracted features and a trained text generation model, a textual description of the identified abnormality; and reporting (180), via a user interface of the system, the generated textual description of the identified abnormality.

Abstract: A system and method to provide guidance for diabetes therapy includes determining glycemic risks based on an analysis of glucose data. The analysis includes visualization of a glucose median, the variability of glucose in a patient, and the risk of hypoglycemia. An Advanced Daily Patterns report includes a visualization of an ambulatory glucose profile and a glucose control measure. The glucose control measure provides a highly visible and understandable display of the glucose condition of a patient visually expressed in the categories of low glucose, median glucose, and glucose variability.

Abstract: Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.

Abstract: A system for monitoring the movements or other activities of patient. Aspects include a monitoring device with one or more sensors such as a pressure or motion sensors that may be positioned on or near a patient. Alerts may be generated by the monitoring device if the sensor readings fall outside predetermined limits set in a patient profile specific to a particular patient. Sensor readings and/or alerts may be sent by the monitoring device to the central server which may notify nearby caregivers that a patient needs assistance. The server may be configured to analyze sensor readings and alert information to refine patient profiles to reduce or eliminate false alarms.

Abstract: A smart mat and scale to detect and communicate body weight of a user and other related data and a smart mat weight detection, calculation, and communication system configured to wirelessly communicate with nearby devices and over a network to a cloud application service and cloud database are disclosed smart mat (bathroom mat, shower mat, kitchen mat, work area mat, or other household mat or commonly used mat), that has circuitry to inconspicuously sense body weight and related data, transmit wirelessly to a phone or hub is disclosed. The smart mat presented herein incorporates technology to well-known household product and enables gathering of body weight data subconsciously and hence allowing gathering consistent data over period of time. It is also preferred to be flexible, light weight and withstand conventional cleaning practices.

Abstract: A system, method for determining blood biomarkers implemented by a processor and memory circuitry (PMC) and a program storage device and computer program product which includes providing near infra-red spectrogram data i of a patient's living tissue; using one or more pre-trained prediction models comprising a selected number of prediction routes, and determining prediction data on a selected group of biomarkers; determining one or more biomarkers associated with a number of groups, and determining an average concentration data of said biomarkers in accordance with output data of a number of prediction routes associated with said number of groups; and generating output data indicative of estimated levels of a selected set of biomarkers for said patient.

Abstract: An intraluminal sensing system is provided. The intraluminal sensing system includes a patient interface module (PIM) in communication with an intraluminal device comprising a physiologic sensor and positioned within a body lumen of a patient, a wireless router via a signal link, and a computing device in wireless communication with the wireless router, wherein the PIM comprises a processing component configured to receive a sensor signal from the physiologic sensor; and determine physiologic data based on at least the sensor signal; and a power and communication component configured to receive power from the signal link; and transmit, to the computing device via the signal link and the wireless router, the physiologic data.

Abstract: An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information indicates a non-distress stats and notifies a second set of contact when the opioid monitoring information indicates an overdose event. The notification can be a phone call or text message to a specified person, emergency personnel, or first responders, and can include the location of the smart mobile device. The smart mobile device can also include the location of the nearest treatment center having emergency medication used in treating opioid overdose, such as naloxone.

Abstract: An analysis support apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires a medical image that a patient is imaged. The processing circuitry specifies non-image information related to the medical image out of a plurality of pieces of non-image information regarding the patient. The processing circuitry outputs an analysis result of the medical image using the specified non-image information.

Abstract: Devices, systems and methods for improved alignment of a charging device for an implanted medical device are disclosed herein. The system can include a charging device that outputs one or more charge parameters during charging to an external user device that outputs an alignment indicator to facilitate fine-tuned alignment of the external charging device. The indicator can be a dynamically updated while adjusting alignment of the charging device. The indicator can includes any of a visual, audio, or haptic output. The user device can be a clinician programmer, patient remote, or a patient's personal computing device. The functionality of the indicator can be incorporated into the charging device itself or distributed across multiple devices to allow fine-tuning of alignment remotely. The alignment feature can be included in a device of a clinical specialist or field technician for troubleshooting alignment problems experienced by some patients.

Abstract: A technique for evaluating human cognitive and motor functions by a plurality of hand movement tasks is disclosed. A task execution method determines the execution order of a plurality of tasks which a test subject is caused to execute to acquire a characteristic quantity. A test subject group task database includes scores given in advance and characteristic quantities obtained from a plurality of tasks stored as past data corresponding to each of a plurality of test subjects. In a storage device, (1) a differentiation precision database for a case in which test subjects are divided into two groups by predetermined threshold value scores differentiated by the characteristic quantities, or (2) an estimation precision database for a case in which a score is estimated using the characteristic quantity for a predetermined score value is prepared for each of the tasks on the basis of the test subject group task database.

Abstract: Health care information for multiple patients is processed to classify patients into categories. Additional data fields related to a category in which a patient is classified are added to the patient record. These data fields are populated in part by automatically processing the existing patient data. Such automatic processing can result in a probability that the underlying data supports having a particular value stored in one of the added data fields, and this probability also can be stored. Over time, additional data can be obtained from patients, caregivers and other sources, for structured data fields based on data entry forms for patient reported outcomes, caregiver reported outcomes, events of interest, survival and resource utilization. A set of factor scores is computed for each patient, for each category in which the patient is classified.

Abstract: The present disclosure provides an exercise assistive device. The present disclosure also provides a method for estimating stamina level and a method for adjusting the method according to a user's anaerobic energy level and aerobic energy level. The present disclosure further provides the several types and applications of the exercise assistive device.

Abstract: Central blood pressure parameters are monitored using a smart watch or smart band. A PPG sensor on the smart watch or smart band is adapted to sense blood perfusion in the finger (or lower wrist/radial artery) of the person wearing the smart watch or smart band. The PPG signal captures cardiovascular features which can be detected after proper filtering and processing. Signal processing, using the transfer function method, results in an un-calibrated central pressure waveform, which can be used to calculate various cardiovascular parameters or indicators of the parameters that are displayed on the smart watch or smart band. Digital signal processing can be implemented on the smart watch or smart band, on a smart phone, laptop or in the Cloud.

Abstract: A method of processing EEG data. The EEG data for a user is read from a user utilizing one or more EEG input devices worn by the user. The EEG data is characterized utilizing one or more processing devices to generate characterized data. The characterized data is categorized utilizing the processing devices to determine a user activity and status of the user associated with the EEG data. The characterized data is analyzed to generate analyzed data. The characterized data is compared against controlled data for the user stored by the one or more processing devices. A service response is generated for one or more systems in communication with the one or more EEG devices to control one or more of ignition, locks, and operations of the one or more systems.

Abstract: A system for remote transdermal alcohol monitoring includes and/or interfaces with a transdermal alcohol sensing device. Additionally or alternatively, the system can include and/or interface with any or all of: a user device; a supplementary alcohol sensing device; a set of supplementary sensors; a computing subsystem; a user interface; and/or any other components. A method for remote transdermal alcohol monitoring includes: receiving a set of inputs; determining a set of outputs; and triggering an action based on the set of outputs.

Abstract: A system and method for using algorithms and acoustic input to control, monitor, annotate, and configure a wearable patch that monitors physiological signals. The method comprises the receiving a transmission at a wearable device wherein the transmission can identify a mode of operation, an annotation to the data in the device, a request for data from the device, a modification of the configuration of parameters, and signals in the device.

Abstract: Systems and methods for utilizing machine learning to generate a trans-diagnostic classifier that is operative to concurrently diagnose a plurality of different mental health disorders using a single trans-diagnostic questionnaire that includes a plurality of questions (e.g., 17 questions). Machine learning techniques are used to process labeled training data to build statistical models that include trans-diagnostic item-level questions as features to create a screen to classify groups of subjects as either healthy or as possibly having a mental health disorder. A subset of questions is selected from the multiple self-administered mental health questionnaires and used to autonomously screen subjects across multiple mental health disorders without physician involvement, optionally remotely and repeatedly, in a short amount of time.

Abstract: A computerized search method includes receiving first input designating a first location of a first analytic. The method includes, in response to a scheduling event, obtaining a first document from the first location, identifying a first predefined label within the first document, obtaining first and second data associated with the first predefined label, storing the first datum into a value index as a current value of the first analytic, and storing the second datum into a text index as a textual description of the first analytic. The method includes presenting a search interface and, in response to receiving a search query from a user: identifying a set of result analytics relevant to the search query based on the text index and presenting, for each of the result analytics, a textual description of the analytic from the text index and a most recent value of the analytic from the value index.

Abstract: An image display method includes: processing a first image to obtain a first feature image, the first image being an image of a local area of a smear captured by a microscope, and the local area including multiple objects to be tested; obtaining a second feature image corresponding to the first feature image, the second feature image and the first feature image having a same size; obtaining a third feature image according to an image obtained by overlaying the first feature image and the second feature image, a feature point in the third feature image indicating a possibility that one of the multiple objects is an abnormal object; obtaining a second image according to the third feature image; and displaying the second image superimposed on the first image.

Abstract: A system to provide a risk relationship transaction automation tool via a back-end application computer server of an enterprise. The system may include a risk relationship data store that contains electronic records representing transactions associated with requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation transaction and retrieve, from the risk relationship data store, the electronic record associated with the selected requested resource allocation transaction. The server may then execute a medical code decision model. According to some embodiments, the system may also support a graphical interactive user interface display via a distributed communication network, the interactive user interface display providing resource allocation transaction data.

Abstract: An apparatus comprising a pump configured to deliver insulin, an input configured to receive blood glucose data, a user interface, and a controller communicatively coupled to the pump, the input, and the user interface. The controller includes a blood glucose data module to compare the blood glucose data to a target blood glucose level for an insulin pump user. The controller is configured to present a question related to the blood glucose level via the user interface when the blood glucose level is different than the target blood glucose level, receive a response to the question via the user interface, and present a recommended user action based at least in part on the response. Other devices, systems, and methods are disclosed.

Abstract: An emotion estimation apparatus 1 includes: a generation unit 2 configured to generate acoustic characteristic information indicating an acoustic characteristic using a first acoustic signal output to the ear canal and a second acoustic signal produced by the first acoustic signal echoing inside the body; and an estimation unit 3 configured to estimate emotion using the acoustic characteristic information.

Abstract: A system for monitoring quantitative health data of a user, the system includes a stationary sensor device for monitoring a first set of quantitative health data of the user when the user is resting in bed; and a wearable tracker for monitoring a second set of quantitative health data of the user when the user is resting; wherein the wearable tracker is worn by the user; the first set and second set are sequential in time to obtain around-the-clock monitoring of the quantitative health data of the user.

Abstract: A predictive model can be applied to data representing a history of events for an entity to compute a value indicative of an outcome related to a reference time for that entity. The effect of an event from an entity's history of events on an outcome for the entity at a reference time can vary based on the type of event and relative time of that event with respect to the reference time. The effect of an event from an entity's history of events on an outcome for the entity also can vary due to other characteristics of the entity in combination with the event. These effects are captured as weights. For an entity, functions of sets of events from the history of events are computed for the entity and a set of weights for events. The computed results are inputs to the predictive model.

Abstract: A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment.

Abstract: Methods are provided for the surveillance and monitoring of a patient's medical care when the patient is treated at two or more medical organizations having different medical record systems. Patient information is received from a first medical organization and populated into an active risk assessment array that monitors the patient's risk for developing a particular disease or condition. Patient information is then received from a second medical organization and populated into the array. It is determined that actionable criteria have been met, and in response, a notification or alert is sent to the medical organizations indicating that the patient is at risk.

Abstract: Patient support apparatuses include a frame, support surface, and a controller. The controller provides notification to a user of a service event relating to the patient support apparatus. The controller limits functionality of a component of the patient support apparatus based upon a severity of the service event. The controller may also, or alternatively, detect when a control is activated by a user and, in response to such activation, determine whether the patient support apparatus has been marked for use or marked for servicing. If marked for use, the controller responds in a first manner, and if marked for service, the controller responds in a different manner. In other embodiments, a method is provided for determining an order in which multiple patient support apparatuses should be service. In still other embodiments, the patient support apparatus automatically changes to an unusable configuration when in need of high priority service.

Abstract: An insulin monitoring system includes one or more processors, one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors. The program instructions include: first program instructions to track, in real time, the amount of insulin active in a patient; second program instructions to calculate the amount of insulin need of the patient by tracking the patient's metabolic states; third program instructions to compare the insulin active in the patient with the insulin need of the patient; and fourth program instructions to determine an insulin fault level based on the comparison.

Abstract: A system and method of processing a CT scan includes receiving a plurality of radiographs and determining an axis of rotation per scan from the plurality of radiographs prior to CT reconstruction.

Abstract: A system for utilizing diagnostics for informed vibrant constitutional guidance includes at least a server, a diagnostic engine operating on the at least a server configured to generate a machine learning model trained by a training set, wherein the machine-learning model is configured to receive contextual information as an input and output a diagnostic output wherein the training data set includes a plurality of data entries, each data entry including at least an element of contextual information and at least a correlated diagnostic output, and at least an advisory module, operating on the at least a server configured to generate an advisory output as a function of the diagnostic output, wherein the advisory output comprises textual data identifying the diagnostic output and wherein the textual data identifying the diagnostic output is configured to be displayed on an advisor client device, and transmit the advisory output to the advisor client device.

Abstract: A system for monitoring a fatigue level of an operator of a vehicle includes a sensor configured to generate a signal indicative of a physiological state of the operator; a display for the operator; and a controller to: receive, from the sensor, the signal; determine the fatigue level of the operator by analyzing the received signal using an algorithm developed using operator fatigue statistics; generate a real-time fatigue report for the operator based on the determined fatigue level of the operator; transmit the generated real-time fatigue report to the display for the operator for display to the operator, and a display for a dispatcher for the vehicle for display to the dispatcher; generate an anonymized version of the real-time fatigue report; and transmit the anonymized version of the real-time fatigue report to a cloud for access by remote users.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: A hand-held device, such as a remote control, is provided for operation of a consumer appliance and is equipped with one or more biometric sensors to capture and report on the health condition of a user of the hand-held device. The data captured by such a hand-held device may be evaluated locally in the hand-held device itself or may be conveyed to a target consumer appliance either for local evaluation by that consumer appliance or for onward transmission to a central off-site monitoring service.

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: Methods, systems and compositions that allow for treating a patient according to a patient customized therapeutic regimen are provided. Embodiments of the invention include obtaining dosage administration information from a patient and using the same to tailor a therapeutic regimen for the patient. Embodiments of the invention further include preparing and forwarding to the patient physical pharmaceutical dosages based on the customized therapeutic regimen.

Abstract: A system for patient data exchange is provided and includes a plurality of sensors monitoring a patient according to a default sensor configuration, and a patient data exchange engine that receives a request comprising one or more parameters, identifies at least one applicable sensor from the plurality of sensors based on the one or more parameters, and reconfigures the at least one applicable sensor from the default sensor configuration to a different sensor configuration in accordance with the one or more parameters to generate applicable sensor data responsive to the request. In specific embodiments, the patient data exchange engine further computes a monetary value for the generated sensor data based at least on an attribute of the patient and an attribute of the sensor data.

Abstract: A structured testing method for diagnostic or therapy support of a patient with a chronic disease and devices thereof are disclosed which implement a structured collection procedure based on a medical use case and/or question which provides at least one or more parameters defining entry criterion, a schedule of events, adherence criterion, and exit criterion. The entry criterion establish conditions needed to be met prior to obtaining biomarker data from the patient. Each event can include one or more of a performance time, patient guidance to perform the event, a request for information from the patient a request for patient action, and a request for collection of biomarker data from the patient. The adherence criterion can be used to assess whether an event performed is acceptable to addressing the medical use case and/or question, and the exit criterion establishes conditions needed to be met prior to exiting the collection procedure.

Abstract: A conversation management system provides a conversational computing interface that manages verbal exchanges between a computer (e.g., artificial intelligence) and a human operator. In a medical embodiment, conversational input from the computing system is generated based on medical knowledge, uses deep learning algorithms, and/or intelligently tracks the state of a conversation so as to the most relevant data to the user.

Abstract: A conversation management system provides a conversational computing interface that manages verbal exchanges between a computer (e.g., artificial intelligence) and a human operator. In a medical embodiment, conversational input from the computing system is generated based on medical knowledge, uses deep learning algorithms, and/or intelligently tracks the state of a conversation so as to the most relevant data to the user.

Abstract: A computer apparatus and computer-implemented process for generating a batch record (BR) from a master batch record (MBR) during manufacture of a batch of pharmaceutical product. In the control software, a graphical analysis interface is provided for processing graphs of spectroscopic or chromatographic analysis. A group of fields in the MBR is assigned to the analysis. The operator wears an augmented reality headset and uses this to capture an image of a graph from an instrument display. The graph image is then processed to extract the graph and its metadata, and then further processed to find peaks and assign attribute labels to the peaks, and thus populate the analysis fields. Overlay images are then transmitted to AR headset to present to the operator the populated analysis fields. The operator then accepts or rejects the populated analysis fields by issuing user interface commands.

Abstract: An indication that a patient event occurred may be used to evaluate the efficacy of at least one therapy program and/or adjust therapy delivery to the patient. In some examples, the patient event indication includes patient input that may be received via an event indication button of a programming device. In some examples, therapy delivery may be adjusted by adjusting at least one therapy parameter value, switching therapy programs or therapy program groups or restarting a therapy cycle of a medical device.

Abstract: A patient case may be evaluated whenever new information is received or as scheduled. Evaluation may include resolving a Diagnosis-Related Group (DRG) code and determining a CDI scoring approach based at least in part on a result from the resolving. Resolving a DRG code may include determining whether a DRG code is associated with the patient case. If no DRG code is found, the system may search for an International Classification of Diseases code or ask a user to select or assign a DRG code. Using the determined CDI scoring approach, a first score may be generated and adjusted by at least one of length of stay, documentation accuracy, payer, patient location, documentation novelty, review timing, case size, or documentation sufficiency. The adjusted score may be normalized and presented to a CDI specialist, perhaps with multiple CDI scores in a sorted order.

Abstract: An apparatus (10) for navigating a hierarchical electronic questionnaire (12) includes at least one electronic processor (20) programmed to: provide (102) a user interface (UI) (27) via which: at least a portion of the hierarchical electronic questionnaire is presented on a display device (24) represented as a tree-based questionnaire map (30) with a plurality of nodes (32) connected by a plurality of branches (34), the nodes of the plurality of nodes corresponding to questions; a user input is received, via at least one user input device (22), indicative of a selection of at least one of the nodes; and the question corresponding to the selected node is displayed and a user input indicative of an answer to the question corresponding to the selected node is received via the at least one user input device; and populate (104) one or more nodes other than the selected node based on the selected node and/or the answer to the question corresponding to the selected node.

Abstract: Systems, methods, and apparatuses that provide alerts based on analyte data and acceleration data. An analyte sensor may generate the analyte data. An accelerometer may generate the acceleration data. A transceiver may convert the analyte data into analyte concentration values. The transceiver may convert the acceleration data into activity information. The transceiver may generate an alert based on the analyte concentration values and activity information. The alert may be communicated to a user by a mobile medical application executed on the transceiver and/or a display device (e.g., smartphone) in communication with the transceiver. The mobile medical application may display (e.g., on a display of the display device) a plot or graph of the analyte concentration values and activity information with respect to time.