Abstract: A multi-format communications system provides a way for a company to control information, some of which may be confidential information, such as PHI, exchanged with existing and potential customers, through individuals associated with the company in a manner preferred by the customers, particularly for non-confidential information, while maintaining a permanent record of communications. With the company maintaining control, if an employee leaves, the employee can be blocked from access to customer information, including communications. Additionally, a time-line view of all events related to a customer can be displayed including communications.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises an analytic server, which determines user health attributes by tracking the user’s behaviors and activities within a predetermined space. The analytic server receives tracking data from a set of sensors installed in the predetermined space. The sensors track a beacon worn by the user. The analytic server determines micro-locations and user behaviors based on the tracking data. The analytic server determines the coordinates of the sensors based on the sensor identifiers and maps the coordinates to regions by referring to a floor plan map. The analytic server determines the user behaviors and activities by aggregating the micro-locations and regions the user visited at different time. The analytic server determines the user’s health score based on the micro-locations and user behaviors by executing an artificial intelligence model. The analytic server determines a recommendation of premium based on the health score.

Abstract: A medical information navigation engine (“MINE”) includes a medical information interface, a reconciliation engine and an intent-based presentation engine. The medical information interface receives medical information from a plurality of medical sources, which is subsequently reconciled by the reconciliation engine. The intent-based presentation engine clusters the reconciled medical information by applying at least one clustering rule to the reconciled medication information. The clustered reconciled medical information can be presented to a user.

Abstract: Patient, user, and/or AI information are used in a multi-objective optimization to select one of a plurality of available AIs for a task. On a patient or user-specific basis, an optimal AI is selected and applied for medical imaging or other healthcare actions. The selection may be before application, avoiding costs of applying multiple AIs to obtain the best results. The optimization may be based on statistical feedback from the user for various of the available AIs, providing information not otherwise available. The optimization may be based on AI performance, AI inclusion and/or exclusion criteria, and/or pricing information. By using optimization based on various information related to the patient, user, and/or available AI, the application of AI for a given user and/or patient by the computer may be improved. The computer operates better to provide more focused information through AI application.

Abstract: A patient support apparatus, such as a hospital bed, communicates with an electronic medical record (EMR) system in healthcare facility. The hospital bed includes a patient support structure to support a patient, a graphical user interface coupled to the patient support structure, and control circuitry coupled to the graphical user interface. The graphical user interface displays at least one input that may be used by a caregiver to chart data into an electronic medical record (EMR) of a patient supported by the patient support structure.

Abstract: The present invention relates to systems and methods for improving the accuracy of disease diagnosis and to associated diagnostic tests involving the correlation of measured analytes with binary outcomes (e.g., not-disease or disease), as well as higher-order outcomes (e.g., one of several phases of a disease). Methods of the present invention use biomarker sets, preferably those with orthogonal functionality, to obtain concentration and proximity score values for disease and non-disease states. The biomarker set's proximity scores are graphed on an orthogonal grid, with one dimension for each biomarker. The proximity scores and orthogonal gridding is then used to calculate a disease state or non-disease state diagnosis for the patient.

Abstract: The present disclosure refers to a method for operating a system, the system comprising a medical device (1), having at least one of a sensor device for sensing medical data and a medication delivery device for delivering medication, a portable electronic consumer device (2), an intermediate device (3) provided with a first communication protocol for data communication with the portable electronic consumer device (2) and a second communication protocol for data communication with the medical device (1), and a control module (6) provided in the intermediate device (3), the method comprising, in the control module (6), receiving control data from the portable electronic consumer device (2) by a receiving functionality provided in the control module (6), the control data being configured for controlling operation of the medical device (1), determining whether the control data can be confirmed by a confirmation functionality provided in the control module (6), and if the control data are confirmed, transmitting t

Abstract: According to one embodiment, a medical information processing apparatus includes processing circuitry. The processing circuitry predicts, based on subject information and a prediction model of a disease onset risk, a time course of the disease onset risk in relation to a subject. The processing circuitry presents, based on the time course of the disease onset risk, a recommended period appropriate for arranging a next examination or medical procedure.

Abstract: Medical image based collaboration system and methods are provided. A collaboration server 40 creates a medical image based case in response to a request from a requesting system 10 and populates the case with the minimum required information comprising at least a digital medical image and a case number. The collaboration server 40 provides the medical image based case to a consulting system 30 and receives analysis information in response. The collaboration server 40 stores the analysis information in association with the medical image based case and provides the analysis information to the consulting system 30 to complete the medical image based collaboration.

Abstract: A blood purification system is provided that is capable of effectively utilizing accumulated histories stored during blood purification treatment and that helps take a quick and appropriate action in response to a particular incident that occurs unsteadily. In a blood purification system, a history stored in a storage device includes particular incidents having occurred unsteadily in blood purification treatment. The blood purification system includes an extracting device capable of searching the histories accumulated in the storage device and extracting a desired one of the particular incidents, a calculating device capable of calculating a time when the particular incident extracted by the extracting device occurs a predetermined or more number of times as a frequent-occurrence time slot, and a display control device capable of displaying the frequent-occurrence time slot calculated by the calculating device on a display during a current session of blood purification treatment.

Abstract: Embodiments in the present disclosure relate generally to computer network architectures for machine learning, artificial intelligence, and risk adjusted performance ranking of healthcare providers. Embodiments of computer network architecture automatically make risk adjusted performance rankings of healthcare service providers and generate and transmit reports of the rankings. Embodiments may generate such rankings either occasionally on demand, or periodically, or as triggered by events such as an update of available data for such forecasts. Embodiments may include a combination of third-party databases to generate the updated forecasts for pending patient clinical episodes, and to drive the forecasting models for the same, including social media data, financial data, socio-economic data, medical data, search engine data, e-commerce site data, and other databases.

Abstract: A non-transitory computer-readable storage medium storing a set of instructions that are executable by a processor, the set of instructions, when executed by the processor, causing the processor to perform operations comprising receiving an imaging study including a medical image of a patient; extracting image context from the imaging study; generating a search query based on the image context; sending the search query to a data source; receiving results of the query from a data source; and providing the results to a user.

Abstract: Features and aspects provide systems that advantageously enhance decisioning related to diagnostic testing by providing a mapping engine that interacts with disparate data processing systems to provide mappings of data elements from stored information for various types of diagnostic tests, including molecular tests. The mappings are stored in a decision support map file and can be referenced when molecular tests are ordered by diagnosticians to improve consistency, speed, and efficiency. Additionally, automated decisioning regarding review of molecular test orders can be provided by the system.

Abstract: Disclosed embodiments include a server computer system that can create a patient profile identifying a group of individuals including a user of a client device and only one patient corresponding to an individual other than the user of the client device. The patient profile can include an assessment and a treatment for the patient based on the assessment. The server computer system can receive, from the client device over a computer network, data values selected by the user of the client device, where the data values are indicative of observations of the patient's activity. The server computer system can further update the patient profile based on the received data values such that the data values influence the treatment, and send, to the client device over the computer network, a message including guidance for the user of the client device to implement the treatment.

Abstract: A computer-assisted method including obtaining healthcare records from multiple different data sources that each provide information regarding a corresponding type of healthcare events, identifying healthcare records from the multiple different data sources that are for a healthcare event associated with a particular individual and that occurred during a particular period of time, and generating a composite record for the particular individual for the particular period of time, and storing the composite record in a database of composite records. The composite record include an identifier for the particular individual, a pharmaceutical transactions array, where each entry in the pharmaceutical transactions array represents a pharmaceutical transaction that occurred during the particular period of time, and a medical visit array, where each entry in the medical visit array represents a medical visit that occurred during the particular period of time.

Abstract: The technology uses aggregated health data and outbreak models to conduct differential diagnosis and provide risk assessments that indicate a likelihood of contracting COVID-19. A healthcare organization server provides COVID-19 diagnostic kits and health applications to participating computing devices that log user health data and registers contacts with other participating users via wireless interactions. The organization compares received data with data received from computing devices from a plurality of other users and identifies common occurrences. The server creates an outbreak model of a geographic region based on the data. The server communicates a determined likelihood of contracting COVID-19 of the user to the user computing device. The server provides the outbreak model to the user, healthcare workers, or others for use in responding to the outbreak.

Abstract: A method includes receiving a scheduling request that identifies a medical consumable, accessing first document types that indicate how often medical consumables are to be ingested, identifying a frequency at which the first designated medical consumable is to be consumed based on the first document types, accessing second document types that indicate a pattern of personal activity behavior, identifying one or more temporal opportunity windows based on the second document types, determining one or more matches between the frequency at which the first designated medical consumable is to be consumed and the one or more temporal opportunity windows, creating an adherence schedule based on the one or more matches that indicates when reminders to ingest the first designated medical consumable are to be generated, and generating one or more of the reminders to ingest the first designated medical consumable on a mobile electronic device according to the adherence schedule.

Abstract: Methods, devices, and systems (for outputting a case summary) receive an electronic medical record (EMR) (and generally electronic records) for the medical patient, extract medical data from the EMR, provide a list of medical problems relevant to the EMR, identifying relations between the medical problems and the medical data using a question-answering (QA) system, and output the clinical summary for the EMR. The clinical summary comprises the list of medical problems, the medical data, and the relations.

Abstract: A medical information navigation engine (“MINE”) is capable of inferring referral activity not reported into a referral workflow system by utilizing intent-based clustering of medical information. The intent based clustering reconciles received medical data, from a variety of sources, and then clusters the data by applying one or more clustering rules. After the referrals not otherwise reported are inferred, they may be utilized to generate metrics that can be utilized to enhance patient care, and reduce costs. Metrics may be generated for both in-network and out-of-network referrals in order to distinguish differences in reporting activity.

Abstract: A method includes accessing, by a healthcare practitioner via an EHR software application loaded on an electronic device, patient information for a patient; determining, by an agent application loaded on the electronic device, the patient for which the patient information was accessed; communicating, from the agent application to an agent service, a request for data regarding the patient; communicating, from the agent service to the agent application, accessed community data for the patient; displaying, in an interface of the agent application, one or more data items based on the accessed community data; receiving user input corresponding to toggling of the agent application from a filtered mode to an unfiltered mode; in response to the toggling, displaying additional data items coded visual indications that the respective data items are newly displayed, the coded visual indications being coded to indicate a reason why each respective data item was not previously displayed.