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: 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 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: 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 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: 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 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.

Abstract: A method for predicting an unfavorable outcome for a patient admitted to a hospital, e.g., with a COVID-19 infection is described. Attributes from an electronic health record for the patient are obtained including at least findings obtained at admission, basic patient characteristics, and laboratory data. The attributes are supplied to a classifier implemented in a programmed computer which is trained to predict a risk of the unfavorable outcome. The classifier is arranged as a hierarchical combination of (a) an initial binary classifier stratifying the patient into either a high risk group or a low risk group, and (b) child classifiers further classifying the patient in a lowest risk group or a highest risk group depending how the initial binary classifier stratified the patient as either a member of the high risk or low risk group.

Abstract: The present technology calculates a value of future adherence (VFA) score which is a patient-level, predicted, expected cost of conversion from non-adherence to adherence over a specified time-frame. The score consists of three general components: (1) probability of being non-adherent, (2) cost reduction associated with being adherent, and (3) probability of converting from non-adherent to adherent. These values can be combined to create an overall VFA score. A user interface is then provided which shows at least a list of patients and information related to the VFA score.

Abstract: A method of diagnosis based on biomarker and apparatus for performing the method includes receiving, by a diagnosis server, digital biomarker data from user equipment, generating, by the diagnosis server, basic diagnostic data on the basis of the digital biomarker data and generating, by the diagnosis server, diagnostic result data on the basis of the basic diagnostic data.

Abstract: A system and method for generating a dynamic weighted combination includes a computing device configured to gain a nourishment metric, determine a nourishment vector as a function of the nourishment metric, generate a nourishment programs relating to a plurality of aliments as a function of the nourishment vector, determine a quantitative signature as a function of the nourishment programs, and generate a dynamic weighted combination as a function of the quantitative signature, wherein generating further comprises identifying, for each dynamic weighted combination, a degree of refinement according to the refinement criterion, comparing the degree of refinement for each dynamic weighted combination to the degree of refinement for at least one other dynamic weighted combination, and generate a dynamic weighted combination as a function of the comparison.

Abstract: A medication risk mitigation method utilizing three interventions: a prospective intervention performed by a prescriber, a concurrent intervention performed by a pharmacist and a retroactive intervention performed by a pharmacist. At each intervention, the system of the instant invention utilizes a computer program to compare each prescribed medication to a series of intrinsic and extrinsic data sources in order to identify potential contraindications and, if necessary, modify a prescription. The system also permits secure messaging between prescribers and pharmacists, each with access to the computer program, so as to facilitate communication and reduce medication risks. The system of this invention also permits modeling for hypothetical medication modifications based on the same intrinsic and extrinsic data sources.

Abstract: Systems and methods for designing and implementing patient-specific surgical procedures and/or medical devices are disclosed. In some embodiments, a method includes receiving a patient data set of a patient. The patient data set is compared to a plurality of reference patient data sets, wherein each of the plurality of reference patient data sets is associated with a corresponding reference patient. A subset of the plurality of reference patient data sets is selected based, at least partly, on similarity to the patient data set and treatment outcome of the corresponding reference patient. Based on the selected subset, at least one surgical procedure or medical device design for treating the patient is generated.

Abstract: A system for nourishment refinement using psychiatric markers includes a computing device designed and configured to retrieve a psychiatric marker relating to a user, identify a nutrient variation as a function of the psychiatric marker, establish nourishment possibilities as a function of the nutrient variation, and generate a nourishment program, wherein generating further includes training a machine learning process as a function of a training set relating psychiatric markers and nutrient variations to nourishment programs, and generating the nourishment program as a function of the psychiatric marker, the nourishment possibilities, and the machine-learning process.