Abstract: Systems and methods for scan preparation are provided. The systems may obtain a first parameter set of a subject to be scanned by a medical device acquired before a scan is performed on the subject. The first parameter set may relate to a physiological motion of the subject acquired before the scan is performed on the subject. The systems may predict, based on the first parameter set and an estimation model, a second parameter set of the subject. The second parameter set may relate to the physiological motion of the subject. The systems may determine at least one scan parameter for the scan based at least in part on the second parameter set. The systems may cause the medical device to perform the scan on the subject based on the at least one scan parameter.

Abstract: A system that includes data collection engine devices, client devices and backend devices. The backend devices include trained models, business logic, and attributes of a plurality of patient events. A plurality of data collection engines and hospital information systems send input attributes of new patient events to the backend devices. The backend devices can predict particular outcomes of new patient events based upon the input attributes utilizing the trained models.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: A computerized method of automated device efficacy determination for multiple monitor devices includes receiving streaming data including multiple health data values sensed by multiple monitor devices, each value indicative of health status of one or more members, and identifying first and second health data values from first and second target ones of the multiple monitor devices. The method includes determining first and second measured health status values of first and second ones of the members according to the identified first and second health data values, and aggregating the determined first measured health status value of the first member with the determined second measured health status value of the first member or the measured health status value of the second member. The method includes comparing the aggregated measured health status values to a target device efficacy threshold to determine an outcome-based device efficacy of the first and second target monitor devices.

Abstract: A medical treatment machine, such as a home dialysis machine, can receive prescription parameters that define parameters of a medical treatment to be administered to a patient. A medical prescription is entered by a clinician into a clinical information system (CIS) that calls a system to evaluate the compatibility of the entered prescription by transmitting the prescription parameters to a server that has access to a database of medical devices and their operational parameters. The server compares the treatment parameters of the medical prescription to the operational parameters of the medical device and generates a prescription compatibility response indicting if the treatment parameters of the medical prescription can be executed by the medical device. The server returns to the CIS the prescription compatibility response to allow the prescription, e.g. in a digital or program form, to be securely transmitted or delivered via a connected health system to the medical device.

Abstract: A system and method for managing medication orders, including changes to those orders, is described. A server receives medication orders from a pharmacy and communicates those orders to an infusion pump. The infusion pump communicates status messages to the server and the server compares the status messages to the medication orders to determine if the there were any changes to the order, or if a medication was administered absent a medication order. The server assigns a new order identification number to the status message if needed. The system may also reconcile original medication orders with information associated with a new order identification number and stores the information in the eMAR of a patient.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting monitoring profiles of end devices. In one aspect, a method generates a health profile for the user; determines, based on the health profile of the user, a particular health risk for the user; determines, for the particular health risk, a first monitoring profile for the user that causes one or more health monitoring devices to monitor the user for a first set of health data; provides the first monitoring profile to the one or more health monitoring devices; receives epigenetic data describing epigenetic factors for the user; determines that a health change event for the particular health risk has occurred for the user; and in response, determines a second monitoring profile for the user for the particular health risk and provides the second monitoring profile to the one or more health monitoring devices.

Abstract: An inventory management system includes a wearable cardiac device comprising an associated plurality of separate wearable cardiac device components stored as inventory at a first inventory location; a plurality of communication interface circuits associated with a corresponding one of the plurality of separate wearable cardiac device components and configured to facilitate transmission of inventory information through a network; at least one server device disposed at a central location and comprising a processor; and a memory comprising instructions that cause the processor to receive the inventory information from the plurality of communication interface circuits; receive a prescription for a patient; retrieve one or more prescription parameters based on the prescription; locate, in the inventory information, the wearable cardiac device based on the prescription parameters; determine a deployment status of the wearable cardiac device; and select the wearable cardiac device for the patient.

Abstract: Apparatus for recording information concerning the use of an injection device, the apparatus comprising: one or more sensors for providing information indicative of how the injection device is used; a processor configured to analyse said information detected by the one or more sensors to determine use information, said use information corresponding to how the injection device is used; and a memory for storing said use information in an image format such that said use information can be retrieved from the memory and displayed in an image.

Abstract: Medical event tracking and quality assurance systems and techniques described provide a quality assurance module that interfaces between patient information systems (e.g. Electronic Health Record systems) and lab information systems. The systems and techniques provide for tracking respective medical events such as a patient's pathology specimen etc., based on a unique medical event tracking number throughout the diagnosis and treatment associated with that specimen. The system and technique enable medical event based tracking in a manner that substantially improves medical care by facilitating “closing-the-loop” between the many medical service providers and the laboratories that may be involved in a particular diagnosis and treatment.

Abstract: Methods and systems for managing patient attributions are provided. Interaction events between clinicians and the patient are identified, and using times associated with each interaction, a time series of the interactions for each clinician may be constructed. Care responsibility curves measuring a clinician's care responsibility level over time may be generated using the time series, an initial care responsibility level assigned to each interaction and a rate of decay for each interaction, which may be based on the type of action and type of clinician who interacted with the patient. A care responsibility score for each clinician may be determined from the clinician's care responsibility curve, and a patient-attribution assignment record may be created to attribute the patient to one of the clinicians based on a ranking of the clinicians' care responsibility scores.

Abstract: This invention provides a histologic system and method for rapidly and accurately assessing tumor margins for the presence or absence of tumor using machine learning algorithms. This affords a rapid and accurate histologic tumor readout and increase process efficiency and decreases the chance for human error. Advantageously and uniquely, the system and method allows for analyzing the tissue section as complete or incomplete as the first criteria to determine whether a tissue section is clear of tumor. A machine learning process receives whole slide images (WSI) of tissue and determines (a) if each image of the WSI contains complete/incomplete tissue samples and (b) if each image of the WSI contains tumorous tissue or an absence thereof. A reconstruction process generates a model of the tissue that maps types of tissue therein, and a display process provides results of the model or report for use and manipulation by a user.

Abstract: Systems, methods, and computer storage media are provided for determining a patient's severity of illness score (pSIS) for a patient admitted to an acute care facility. Data corresponding to physiologic components is received from an electronic medical record associated with a patient admitted to an acute care healthcare facility. The physiologic components include vital sign measurements and laboratory tests. Weights are assigned to a minimum, median, and maximum measured values for each vital sign. Weights are assigned to minimum and maximum values for each laboratory test. The weights are derived based on a deviation from normal within a time period. A pSIS is determined by summing the weights. Additional data corresponding to physiologic components may be received from the electronic medical record. The additional data may be utilized to update the weights and determine a patient's updated pSIS that may be utilized to track a progress of the patient.

Abstract: Systems and methods for making and delivering personalized, medically prescribed pharmaceuticals to an individual patient are described. Individual unit doses (IUDs) of medicine may be prepared specific to the individual in need of same, by using a system, which includes a networked control system in combination with manufacturing assemblies specific to the IUDs and delivering the medicine to the patient directly from the manufacturer.

Abstract: Methods of troubleshooting non-event malfunctions. The methods include providing a database including pre-populated non-event issues and associated corrective actions, inputting search criteria regarding a particular non-event issue via entry of a search string at the user interface, parsing and normalizing the search string into a meta-data schema to produce a normalized search string, searching the database with the normalized search string to generate a listing of one or more particular corrective actions, and receiving the listing of one or more particular corrective actions that are associated with the normalized search string. Apparatus configured to carry out the methods are provided, as are other aspects.

Abstract: Methods and devices for implementation of a health care prescription. Some devices may dynamically monitor information from a patient device. Some embodiments may dynamically provide instructions to patient devices to treat and for treating patients through the use of medical devices based on the information from a patient device. Some embodiments treat musculoskeletal conditions by providing for alignment of bones by use of bone alignment devices in accordance with instructions provided through a prescription. Other embodiments may facilitate or provide revised prescriptions in response to treatment conditions. Embodiments may also provide effective ways of communicating prescription and compliance information between patients and health care providers.

Abstract: Systems and methods for population health surveillance utilizing a network of smart thermometers is provided. Based on the geolocated user data provided by the smart thermometers, contagious illness can be forecasted for various population nodes. Population nodes can be provided at various levels of granularity. Geographic or population specific early warning signals can be generated based on detected outbreaks of contagious illness.

Abstract: Methods, apparatus, and systems are disclosed for optimization techniques and a realistic 3D model to design optimal parameters for transcutaneous stimulation to achieve focalized stimulation of a target tissue such as the spinal cord, brain or other internal organ. The methods, apparatus, and systems include generation of a 3D model from a CT/MRI image, as well as an optimization algorithm that enables stimulation of any target location (e.g., on the dorsal root, or on the dorsal column) with any orientation at high precision.

Abstract: Methods, computer-readable media, and systems for providing disease management. In one implementation, a system develops a treatment recommendation for a patient based on patient data. The system may receive patient data, execute a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data, perform a statistical analysis of the patient data to detect data excursions of the parameter values; use the modified model to determine factors causing the data excursions; and use the model to develop a treatment recommendation to ameliorate negative effects of the disease.

Abstract: A system and method for assigning a cannabidiol point value and recommending cannabidiol-infused edibles based on biological parameters and activity information. The system and method assign a cannabidiol point value to a cannabidiol-infused edible, and then recommends and delivers a cannabidiol diet to a user based on the user's biological parameters and activity information. An algorithm converts the biological parameters and activity information of the user into a biological and activity point value. At least one cannabidiol-infused edible is assigned a cannabidiol point value. The user scans the cannabidiol-infused edible to ascertain cannabidiol point value. The algorithm derives a recommended cannabidiol dosage for the user based on the association of the cannabidiol point value with the biological and activity point value. The user monitors the cannabidiol point value and consumed cannabidiol-infused edibles on a portable communication device. The cannabidiol-infused edibles are delivered to the user.