Abstract: Patients being treated successfully with a drug of abuse and at low risk for abusing the drug nevertheless may be at high risk of being misidentified as a high risk of abuse. These patients may need and benefit from treatment with the drug but restricted or cut off from the treatment altogether due to the misidentification and then abandoned. Evaluating a patient's risk of drug treatment change due to a category misidentification may include developing a model for identifying such abandoned patients, applying the model to data of a patient, and determining a patient risk score for the patient based on a result of applying the model.

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 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 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: 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: 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: 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: 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: Mid-infrared spectroscopic analysis of tissue specimens can include training a learning model and using the trained learning model to classify tissue into at least two (or more than two) categories such as a tumor category, a non-tumor category, and a histology category. Resulting richer diagnostic indication can be provided and can optionally be mapped to a schema for RGB or other display. Efficient and accurate classification can employ an efficient linear SVM model representation. The model representation can include a ? spectrum including the fuller wavelength set, a central tendency indicator (?) of the training set, a spread indicator (?) of the training set, and a scaling factor. Various types of illuminators and response detectors can include one or more Quantum Cascade Lasers, broadband light source configured to permit spectral separation, a thermal or other imaging array, among others.

Abstract: Managing healthcare information includes a first healthcare professional subscribing to a subset of medical information for a patient in a healthcare information framework having a datastore containing electronic health records for the patient, the first healthcare professional being a member of a life-long care team for the patient that includes all care teams encountered by the patient at any time, a second healthcare professional posting medical information about the patient in the healthcare information framework, pushing, in real time or near real time, the medical information to at least one server that is coupled to the datastore, and the at least one server causing the first healthcare professional to automatically receive the subset of the medical information based on the first healthcare professional subscribing to the subset of the medical information. The second healthcare professional may be invited based on analysis of data in the datastore.

Abstract: A system for selection of a medical provider (MP) by a requesting patient based on preferences for the MP includes a first model modeling the preferences of a plurality of patients for select MPs and trained on a first training data set comprised of patients and MPs. The patients in the first training data set have rated at least one of the MPs in the first data set by a predetermined set of patient determined preferences. A second model is provided for modeling the preferences of a plurality of MPs for select patients and trained on a second training data set comprised of MPs and patients. The MPs in the second training data set have rated at least one of the patients in the second data set by a predetermined set of MP determined preferences. An available MP data set is provided containing information representative of available MPs for selection thereof by the requesting patient.

Abstract: Systems and methods for calculating health care treatment statistics are provided. In one embodiment, a system comprises a data-holding subsystem storing raw medical claims data in non-transitory memory, and a logic subsystem configured to partition the raw medical claims data into a plurality of data sets based on one or more of insurance type, episode grouping, member key, date-of-service key, or a combination thereof, wherein the logic subsystem is further configured to calculate statistics based on each of the plurality of data sets and output correlated calculation results for display on a user device, and wherein the statistics include a frequency of patients receiving a health care service and an average cost of the health care service. In this way, a health care consumer may know what to expect for different treatment options for a given medical condition.

Abstract: A model-assisted system for determining probabilities associated with a patient attribute. The processor may be programmed to access a database storing an unstructured medical record associated with a patient and analyze the medical record to identify snippets of information associated with the patient attribute. The processor may generate, based on each snippet, a snippet vector comprising a plurality of snippet vector elements comprising weight values associated with at least one word included in the snippet. The processor may analyze the snippet vectors to generate a summary vector comprising a plurality of summary vector elements, wherein each of the plurality of summary vector elements is associated with a corresponding snippet vector element and is determined based on an analysis of the corresponding snippet vector element. The processor may further generate, based on the summary vector, at least one output indicative of a probability associated with the patient attribute.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for grouping brain parcellation data. One of the methods includes receiving brain parcellation data for a subject; receiving an indication from a user of a brain function category; forwarding data for display, the data comprising a set of functions within the brain function category; receiving a selection from the user of a brain function from the set of functions within the brain function category; determining a subset of the brain parcellation data for parcellations that have an overlap with the selected brain function where the overlap exceeds a threshold; and taking an action based on the determined subset of the brain parcellation data for parcellations that have an overlap with the selected brain function where the overlap exceeds a threshold.

Abstract: A computerized system customizes patient care workflows for health service providers. The system may extract essential details from various health service records for an individual, transform those details into standardized information, and use the standardized information to generate health service workflows that are particular to the patient. The health service workflows may be customized to a particular health service venue, a particular health service provider role, or even a particular health service provider.

Abstract: Methods and systems to stratify risks for adverse health outcomes include aggregating data sets culled over a predetermined period of time; adjusting at least two variables within the aggregated data sets; and executing a regression analysis to identify an average causal effect between aggregated variables against at least one particular adverse health outcome.

Abstract: Implemented is a check-in application instantiated on a user's local computing device, adapted to receive user updates on their current mental health status. The check-in application invites users to check in as frequently as they'd like and provides a calendar with push notifications to serve as reminders for users to check in. Each check-in response is assessed to determine a mental health severity level for a given user, typically broken down into low, medium, and high severity levels. Each severity level is associated with a set of automated procedures that the check-in application initiates based on the detected severity level. An incentive-based award system is also utilized within the check-in application to encourage users to periodically and consistently use the application.

Abstract: An information processing apparatus includes a controller. The controller obtains information about a designated area and information about a medical service target. The controller creates, in accordance with the population distribution in the designated area, a dispatch schedule for dispatching a medical service vehicle capable of dealing with the medical service target to the designated area.