Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.

Abstract: Systems and methods may be provided that may enable an individual to retrieve one or more prescription products (e.g., product refills) from a self-service retrieval location such as a counter, drive-thru, drop box, or kiosk. The individual may identify a medical prescription, and a unique-machine readable code may be generated, wherein the code is associated with the medical prescription and a particular station at an identified retrieval location. The unique machine-readable code may be transmitted to a computing device of the individual, who may scan the code at particular station to retrieve one or more prescription products associated with the medical prescription.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a computing platform that identifies information about a trial program, where the information is related to healthcare data included in datasets, and identifies an investigator based on the information about the trial program. A data analytics model of the platform generates an initial provider score for each provider in a group of providers based on analysis of the information. The analyzed information of the datasets includes healthcare data describing interactions between patients and providers in the group and criteria for the trial program. The platform provides a request to a subset of providers using the initial provider scores. The request is an invitation to for each provider to join a referral network. The platform uses the request to establish referral connections between the trial investigator and a provider in the subset.

Abstract: One embodiment provides a method, including: receiving, at a passive sensor of a wearable identification device associated with a patient within a healthcare enterprise from a receiver of a patient status system and corresponding to a predetermined location within the healthcare enterprise, a request signal when the wearable identification device is detected at the predetermined location; deriving power for the passive sensor from the request signal and not from power circuitry within the wearable device; generating, at the passive sensor using the derived power, a transmission from the request signal, wherein the transmission includes identifying information associated with the wristband; and transmitting, from the passive sensor, the transmission to the receiver, wherein the transmission is utilized to update a status of the patient within the patient status system based upon detection of the passive sensor at the predetermined location. Other aspects are described and claimed.

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 method and system use mathematical models and available patient information to virtualize a continuous glucose monitoring trace for a period of time. Such a method and system can generate the virtualized trace when episodic patient data is incomplete. Such a method and system can also rely on self-monitored blood glucose measurement information to improve the virtualized continuous glucose monitoring trace.

Abstract: Systems and methods to improve use of patient prescribed video materials by (1) providing patients with the right amount of resources/time that they individually need, where the resources/time are determined based on quantifiable metrics recorded by clinically validated instruments as well as other data; (2) classifying and segmenting patients into behavioral phenotypes based on real-time responses and predicting healthcare utilization, adherence, and trajectory of the patient; and (3) based on the predictions, generating a customized microlearning video library, tailored to the patient's needs and abilities. These improvements and efficiencies can be provided through a cloud-based enterprise computing architecture based on communications made directly to wireless devices controlled by the patient.

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: A system for informing self-treatment remedy selection. The system includes a computing device configured to identify a self-treatment remedy associated with a user. The computing device classifies using a remedy classify an identified self-treatment remedy as an input and outputs a self-treatment model. The computing device retrieves a biological extraction associated with a user and calculates a self-treatment model using a machine-learning model. The computing device generates a remedy label and determines using the remedy label if an identified self-treatment remedy is safe for user consumption.

Abstract: Systems and methods are described which permit the state, the individual, the individual's case manager, and the individual's circle of support to have real time access to utilization data to monitor services and progress toward outcomes as part of a plan for achieving the individual's goals and maintain the individual's health and wellbeing, as well as to forecast future needs. Systems and methods for sharing billing information across at least two organizations in an integrated manner are also described. A physical node may receive a request for authorization for a user in an organization to access an individual's information in another organization. The request may be logged. The physical node may determine whether the user is authorized to access the individual's information and, if it is, provide appropriate access.

Abstract: Systems and methods for sharing the information of an individual under care across at least two organizations in an integrated manner are described. These include systems and methods of data collection from multiple sources relating to the individual's care, where the data collection is driven by one or more preset orders. The preset orders may be preset by a user. A physical node may receive a request for authorization for a user in an organization to access an individual's information in another organization. The request may be logged. The physical node may determine whether the user is authorized to access the individual's information and, if it is, provide appropriate access.

Abstract: Systems and methods for sharing billing information across at least two organizations in an integrated manner are described. A physical node may receive a request for authorization for a user in an organization to access an individual's information in another organization. The request may be logged. The physical node may determine whether the user is authorized to access the individual's information and, if it is, provide appropriate access. Also disclosed is an integrated web application and system which includes the core plan, budget, service authorizations, service documentation, claims, and communications of an individual under care and allows for calculated access and communication with external authorization and payment systems.

Abstract: A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.

Abstract: A surgical procedure planning system and method that uses multiple feedback loops to optimize creation or design of future surgical preoperative plans.

Abstract: Methods of controlling at least one medical device wherein at least one adapter allows communication among the medical device and other devices. The methods include analysis of a representation of a unique biologic identifier of a person or device that is providing or receiving medical information.

Abstract: Systems and methods described herein facilitate biometric, health, and activity data aggregation and visualization in order to provide improved physical performance tracking and medical monitoring. In some examples, the system can providing real time access to healthcare providers during telehealth sessions. In some examples, the system can include infectious disease monitoring, enabling a healthcare provider to monitor and provide healthcare to a group of patients outside of a clinical setting.

Abstract: Systems and methods for surfacing contextually relevant data into the workflow of a third party system are discussed herein. The system implements a near-real-time method of detecting activity corresponding to particular electronic health records associated with particular patients in third-party systems using specifically configured software systems. A cloud-based micro-services architecture is communicably coupled to the third-party systems and is operable to transmit contextually relevant data to the third-party system in response to particular detected activities, such as accessing a patient's electronic health record. The contextually-relevant data is identified by comparing electronic health record data from various third-party systems, each third-party system associated with the particular patient, to determine gaps in the records. The contextually relevant data is transmitted to the third-party system and visually integrated into the third-party system's pre-existing clinical workflow.

Abstract: Systems and methods for surfacing contextually relevant data into the workflow of a third party system are discussed herein. The system implements a near-real-time method of detecting activity corresponding to particular electronic health records associated with particular patients in third-party systems using specifically configured software systems. A cloud-based micro-services architecture is communicably coupled to the third-party systems and is operable to transmit contextually relevant data to the third-party system in response to particular detected activities, such as accessing a patient's electronic health record. The contextually-relevant data is identified by comparing electronic health record data from various third-party systems, each third-party system associated with the particular patient, to determine gaps in the records. The contextually relevant data is transmitted to the third-party system and visually integrated into the third-party system's pre-existing clinical workflow.

Abstract: Various systems and methods are provided for surgical and interventional planning, support, post-operative follow-up, and functional recovery tracking. In general, a patient can be tracked throughout medical treatment including through initial onset of symptoms, diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment. In one embodiment, a patient and one or more medical professionals involved with treating the patient can electronically access a comprehensive treatment planning, support, and review system. The system can provide recommendations regarding diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment based on data gathered from the patient and the medical professional(s).

Abstract: The present invention includes a method for representing a plurality of pre-calculated solutions in radiation therapy that are stored in a database and displayed in a manner controllable by a user. Arrays of DVH curves provide the user with essential information on the ‘quality of a plan’. A DVH diagram is displayed as a main diagram, wherein only one of the solutions is visually represented at a time. By selecting a first starting point on a selected DVH curve as the main diagram, a first straight axis extending through the first starting point is placed. A first region, located around the first starting point and on the first straight axis, is highlighted as a first control region for controllable visualization of the plurality of currently non-displayed solutions stored in the database, the DVH curves of which correspond to the selected DVH curve and intersect the first straight axis.