Abstract: The managing apparatus for food information according to one embodiment of the present invention provides database of spectral signals according to caloric nutrient concentrations based on spectral signals of standard model food randomly prepared according to caloric nutrient concentrations.

Abstract: Various aspects described herein relate to presenting drug dispensing information. Data related to a plurality of dispensing events initiated by one or more employees, of an electronic drug dispensing system can be received. A set of dispensing events of the plurality of dispensing events can be determined as constituting possible misappropriation of drugs by the one or more employees. An alert related to the set of dispensing events can be provided based on determining that the set of dispensing events constitute possible misappropriation of drugs.

Abstract: Method and apparatus for managing the physician referral process, whereby a referring physician (e.g., a primary care provider) refers a patient to another physician (e.g., a specialist) for a particular medical procedure, analysis or care. An aggregator provides systems and methods available to physicians and their administrative staff (herein collectively referred to as physicians or doctors) to: book appointments on behalf of their patients online through a doctor directory and calendar function; filter available doctors by specialty, subspecialty, procedure, insurance participation and/or hospital network; transfer a patient's personal information, medical history and pre-selected insurance forms from one doctor's office to another's, electronically; transfer and upload relevant forms and paperwork via fax from one doctor's office to another; track referrals historically (over time) on a by-doctor or by-patient basis; facilitate referrals to and from doctors in a certain network or group.

Abstract: A system (or architecture) for facilitating dental or other health care provider services, associated tasks and automated functionalities is provided as an integrated platform including an integrated combination of: a smart Interactive Voice Response (IVR) system, an automated front desk, a voice assisted integrated practice management system (PMS), automated billing and compliance, custom doctor portals, and automated reporting. The integrated platform is configured to provide a personal assistant who manages tasks and tracks patient records and/or is configured to limit or remove redundant software systems. The system includes or utilizes a Customer Relationship Management (CRM) system/software which is configured as the central hub of all information in and out of all interfaces or customer touch points.

Abstract: In an embodiment, a computer-implemented method of tracking soil sampling in a field is disclosed. The method comprises receiving, by a processor, digitally stored field map data and digitally stored sampling data. The method further comprises displaying, by the processor, a field map depicting the first set of sampling points in a computer-generated graphical user interface. In addition, the method comprises receiving a selection of a first sampling point and displaying first sampling data associated with the first sampling point. The method also comprises receiving an update indicating that a soil sample has been collected at the first sampling point. Finally, the method comprises determining a second sampling point at which a next soil sample is to be collected and displaying the second sampling point in the field map.

Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-inflammatory therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Abstract: Methods and systems for predicting drug directions of a prescription are described. In one embodiment, values of a plurality of required pharmacy elements of a corresponding prescription are received and pre-processed, the values are weighted, a machine learning model to be used by a plurality of machine learning algorithms in predicting drug directions of the prescription is created, and a plurality of drug directions of the prescription are predicted by executing the machine learning algorithms on the weighted values of the plurality of required pharmacy elements of the prescription.

Abstract: Systems and method are provided for generating a record of a medical procedure. A system includes a processor and a non-transitory computer readable medium. The medium includes a graphical user interface configured to display a graphic representing an anatomical region of a patient and accept a gesture from a user comprising a selected procedure and, diagnosis when appropriate, and a location on the displayed anatomical region. A knowledge base stores a plurality of templates, each comprising a set of fields. A record generation engine selects an associated one of the plurality of templates according to each of the selected procedure and, diagnosis when appropriate, and the location on the displayed anatomical region and populates the set of fields associated with the selected template. A database interface formats the populated template into a database record suitable for an electronic health records database associated with the system.

Abstract: Provided is a method, computer program product, and system for fusing knowledge graphs to generate a larger knowledgebase for responding to cross document questions. A processor may extract contextual information from a plurality of documents. The processor may generate, based on the extracted contextual information, a knowledge graph for each document of the plurality of documents. The processor may analyze each knowledge graph to determine if one or more entities of each knowledge graph are linked. The processor may fuse, in response to an entity in a first knowledge graph being linked to an entity in a second knowledge graph, the first knowledge graph with the second knowledge graph to create a fused knowledge graph.

Abstract: Methods, systems, and computer-readable media for generating a personalized action recommendation are provided. The method acquires a request for a service that is associated with a user and the user's condition. The method then identifies one or more features of the user based on stored user information. The method next assigns the user to a segment based on the identified one or more features, generates a set of one or more recommended actions for the user based on the segment, and determines an expected value of each of the one or more recommended actions. The method determines a rank of the one or more recommended actions based on the expected value of each of the one or more recommended actions, and outputs a recommended action with a highest expected value for the user in response to the request for the service.

Abstract: Systems and methods assist in gathering relevant data in a doctor-patient encounter for obtaining a properly specified diagnosis code. In one embodiment, selectable data items which are provided as part of a medical charting program may be correlated with one or more standardized diagnosis codes (e.g. ICD-10 codes). Upon selection of the appropriate data items when charting a patient encounter, one or more diagnosis codes which are correlated with the selected data items may be flagged and/or generated for later use, such as for filing a claim submission as part of a billing process or to further enhance the clinical workflow of patient encounter documentation.

Abstract: A system and method are provided for performing operations comprising: receiving one or more images from an image capture device of a medical treatment location; applying a trained machine learning model to the one or more images to detect presence of a patient in the medical treatment location, the trained machine learning model being trained to establish a relationship between one or more features of images of the medical treatment location and patient presence; generating context assessment for the medical treatment location based on the detected presence of the patient; and transmitting, over a network, the context assessment for presentation on a user interface of a client device.

Abstract: A medical instrument display includes an image storage that stores a plurality of image data of a medical instrument, a data analyzer that searches a plurality of image data stored in the image storage on a certain condition, and a display controller that causes a display to display a first medical instrument image that has been selected from thumbnail images, the thumbnail images being based on a plurality of the image data obtained by the search, and a second medical instrument image in good order, the second medical instrument image being different from the first medical instrument image.

Abstract: Provided is a system and method for automated patient interaction. The method includes parsing a patient complaint comprising a plurality of words, determining a subset of patient queries from a plurality of patient queries based on the patient complaint and patient data, communicating the subset of patient queries to a first computing device; receiving, from the first computing device, responses to at least a portion of the subset of patient queries; generating output data based on the subset of patient queries and the responses; communicating the output data to a second computing device; receiving, from the second computing device, a user input corresponding to at least one patient query of the subset of patient queries; and training, based on the user input, at least one machine-learning algorithm configured to output at least one patient query based on at least one of the patient complaint and a subsequent patient complaint.

Abstract: An information system and user interface to enable the analysis of clinical data for operational improvement and issue identification in medical imaging procedures is disclosed. In an example, opportunity and usage analytics are generated from relevant imaging procedure data (e.g., radiology procedure data) through operations including: obtaining clinical data that indicates usage of imaging resources to perform medical imaging procedures; analyzing the usage of the imaging resources from the clinical data, to identify values of opportunities for predicted changes to the usage of the imaging resources; and generating a visualization of the values of the opportunities for output in a graphical user interface, the visualization indicating values of opportunities relative to past usage and predicted changes to the usage of the imaging resources.

Abstract: A method of automatically diagnosing pneumonia in a patient includes using an input/output interface device to obtain values of two or more diagnostic parameters of the patient from a caregiver for the patient. The method includes using a processor coupled to the input/output interface to apply the two or more diagnostic parameters to an electronic memory storing precompiled pneumonia diagnostic models to identify an optimal diagnostic model for making a diagnosis. The values of the two or more diagnostic signs are applied to the identified optimal diagnostic model to generate a diagnosis output. The input/output interface device is operated in accordance with the diagnosis output to indicate the presence or absence of pneumonia in the patient to the caregiver. The caregiver may use the diagnosis to provide appropriate care to the patient. The pneumonia diagnostic models are derived from investigation of a population of pneumonia positive and non-pneumonia subjects.

Abstract: A method for extracting information from a dataset, e.g., a document, includes: receiving the dataset at an information handling device, optionally, extracting, via optical character recognition implemented by a processor of the information handling device, textual information associated with the dataset, and classifying the dataset into one of a plurality of classes. Classifying the dataset may include computing a similarity score for each of the plurality of classes for each of a plurality of window regions of the dataset, calculating a subset of highest similarity scores for each of the plurality of classes for each of the plurality of window regions, determining overall similarity scores for each of the plurality of classes, and classifying the dataset as corresponding to a class with a highest overall similarity score.

Abstract: One or more aspects of the present disclosure relate to a storage health status. In embodiments, one or more events corresponding to a storage array can be received. Each event can include an alert. A type of each event can also be identified. For each event having a qualifying type, at least one prior event made obsolete by each received event can be cleared.

Abstract: Disclosed methodologies provide improved predictors of patient treatment adherence by using person-specific subjective experience and social-environmental factors. Methodologies combine emotion and data sciences. Advanced tools capture, measure, store, and analyze self-report of subjective experiences using digital applications and platforms. Patient-specific data is obtained regarding emotional or affective determinants and social determinants for generating a calculated composite score of the patient's probability of adherence or achievement relative to target outcomes, e.g. adherence to treatment plans, wellness activities, etc. for a subject individual. Internal/subjective factors are judged by self-report measures designed to validly judge tested factors based on a patient adjusting continuously-variable graphical interfaces to capture and measure subjective experiences.

Abstract: The present invention relates to an improved method of contactless initiation and control of a videoconference between a user in a sterile environment, wherein in the videoconference output is processed from one or more imaging instruments, and from one or more remote users from a predetermined list of a plurality of remote users.

Abstract: An information processing device is provided with a payment data acquiring unit for acquiring, from a payment processing system, payment data relating to a completed payment, a reimbursement object identifying unit for identifying, out of the payment data that is acquired, object payment data relating to a payment that is an object of reimbursement, on the basis of the information that enables identifying of the payer and the information that enables identifying of the payee included in the payment data, and a calculating unit for calculating a volume of a reimbursement value used for the reimbursement, on the basis of the payment amount included in one or a plurality of pieces of the object payment data identified by the reimbursement object identifying unit, for each payer.

Abstract: A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The robot can patrol one or more routes within a building, and can detect violations of security policies by objects, building infrastructure and security systems, or individuals. In response to the detected violations, the robot can perform one or more security operations. The robot can include a removable fabric panel, enabling sensors within the robot body to capture signals that propagate through the fabric. In addition, the robot can scan RFID tags of objects within an area, for instance coupled to store inventory. Likewise, the robot can generate or update one or more semantic maps for use by the robot in navigating an area and for measuring compliance with security policies.

Abstract: Embodiments are directed towards generating a representative sampling as a subset from a larger dataset that includes unstructured data. A graphical user interface enables a user to provide various data selection parameters, including specifying a data source and one or more subset types desired, including one or more of latest records, earliest records, diverse records, outlier records, and/or random records. Diverse and/or outlier subset types may be obtained by generating clusters from an initial selection of records obtained from the larger dataset. An iteration analysis is performed to determine whether a sufficient number of clusters and/or cluster types have been generated that exceed at least one threshold and when not exceeded, additional clustering is performed on additional records. From the resultant clusters, and/or other subtype results, a subset of records is obtained as the representative sampling subset.

Abstract: A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.

Abstract: A computer-implemented method for capturing a user constructed map of bodily region of interest for remote telemedicine navigation includes receiving, by a user-device, a request for capturing data for constructing a model of the bodily region using a designated capture-device. The method further includes generating, by the user-device, a visual feedback for capturing the data. Generating the visual feedback includes displaying a representation of the bodily region, and modulating, in response to the capture-device scanning the bodily region, the representation with a first indicator that indicates a duration to maintain a position of the capture-device. Generating the visual feedback includes further modulating, in response to completion of scanning the bodily region, the representation with a second indicator that indicates completion of the scan.

Abstract: Systems and methods related to virtual telemedicine systems, virtual examinations, medical marketplaces, and/or assistance for patient/physicians are provided. The systems can be configured to identify relevant medical service providers based on user-specific information, whether the user has experienced a medical event that may require emergency, urgent, or non-urgent medical services, and/or provide examinations, such as virtual examinations, in person examinations, or hybrid examinations (e.g., both a virtual examination with a first physician and a physical examination with another physician).

Abstract: The present application relates to a system and method for sharing data on a medical cloud platform based on third-party business. The system includes: a terminal device and a cloud platform. The cloud platform receives a massive quantity of vital-sign data that are sent by the terminal device, analyzes and processes the massive quantity of vital-sign data by using the deep-learning framework of distributed parallel computation, screens abnormal data, and sends an abnormal-event warning to the user, to prompt the medical care personnel to quickly intervene.

Abstract: A diagnostic care coordination system assists a caregiver with treating a patient. The system comprises a diagnostic engine and a care engine. The diagnostic engine is configured to generate a working diagnosis of the patient. The diagnostic engine includes a static diagnosing web containing a plurality of information nodes and a dynamic diagnosing analyzer for presenting to a user a plurality of information requests. The dynamic diagnosing analyzer navigates a user through the plurality of information nodes of the static diagnosing web based upon received responses to said plurality of information requests. Based upon a route through the static diagnosing web as taken by the dynamic diagnosing analyzer, the diagnostic engine generates the working diagnosis. The care engine determines a treatment plan based upon said working diagnosis.

Abstract: A method of updating a protocol for a Virtual Reality (VR) medical test via a user device having a processor, the VR medical test being performed on a subject via a VR device worn by the subject, wherein the method is performed by the processor and the method comprises: displaying GUI elements associated with the protocol on the user device, the GUI elements having user adjustable settings for modifying a functioning of the VR medical test; receiving a selection input from the user device corresponding to a selection of the GUI elements; receiving a setting input from the user device that corresponds to the selected GUI elements; modifying the user adjustable setting for each of the selected GUI elements according to the corresponding setting input; and updating the protocol based on the user adjustable setting for each of the selected GUI elements and operations associated with the VR device.

Abstract: Disclosed is a method for authenticating requestors and granting access to a permissioned blockchain network shared among enterprise entities. A decentralized registry of credentialed users, in which credentialed users guard their own access information by keeping a private key of a public-private keypair enables systems to avoid keeping information of a large number of users in large, vulnerable containers. A further method removes authenticated users seeking to be forgotten from the registry of users and deletes any personally identifiable information of the withdrawing users.

Abstract: A system for evaluating health risk is provided. The system may be configured for requesting first data from a merchant associated with a user and second data from an activity tracking service associated with the user. The system may also comprise analyzing the item to determine a first health impact for the item based on the item and demographic information associated with the user. The system may further comprise analyzing the level of activity to determine a second health impact from the level of activity based on the level of activity and the demographic information associated with the user. The system may further comprise selecting an advertisement based on medical data, and at least one of the first health impact, the second health impact and the demographic information associated with the user.

Abstract: A medical diagnostic kit are described. In one example, a medical diagnostic kit includes a container, and a plurality of medical diagnostic test kits located within the container. Each of the plurality of medical diagnostic test kits can include equipment necessary to perform a particular self-administered medical diagnostic test. The plurality of medical diagnostic test kits can include at least a first medical diagnostic kit adapted to facilitate user completion of a first medical diagnostic test and a second medical diagnostic kit adapted to facilitate user completion of a second medical diagnostic test different from the first medical diagnostic test. The container can include a machine-readable code located on an external surface of the container.

Abstract: Identifying relationships between healthcare practitioners and healthcare facilities based on billed claims. A method includes assessing facility claims billed by a facility over a time period to identify a practitioner that performed a procedure at the facility within the time period and assessing carrier claims billed by the practitioner over the time period to identify all facilities in which the practitioner performed a procedure within the time period. The method includes calculating a total quantity of the facility claims billed over the time period that indicate a procedure was performed at the facility and a total quantity of the carrier claims billed by the practitioner over the time period that indicate the practitioner performed a procedure.

Abstract: A data security and fraud prevention system is configured to transmit a web form to a first device, receive through the web form first data including first user private data associated with a first user, receive a request to share the web form with a second user, create a cache storage and an unique identifier associated with the web form, and mask the first user private data to prevent access to the first user private data by the second user. The data security and fraud prevention system is further configured to encrypt the unique identifier, generate a share session between the first device and a second device associated with the second user, receive through the web form second data including second user private data associated with the second user, mask the second user private data to prevent access to the second user private data by the first user, and aggregate the first data and the second data to complete the web form.

Abstract: A head-mounted device can be operated to detect and respond to a user's behavior. The head-mounted device can be regularly and frequently worn while the user performs regular daily tasks, allowing the head-mounted device to collect a large volume of data across a long duration of time. The head-mounted device can provide feedback that can guide and direct a user to correct actions.

Abstract: A method carried out in a system having a diagnosis plug-in device, a host server, a plurality of third-party servers and a user display device. The method includes the steps of: coupling the diagnosis plug-in device to the diagnosis port of a vehicle of interest; collecting at the diagnosis plug-in device, a basic data set, including vehicle speed, itinerary and geolocations; transferring the basic data set to the host server; at the host server, enriching a driver's profile relating and updating the vehicle's data history; forwarding the basic data set from the host server to the third-party servers; at the third-party servers, enriching the driver's profile and/or updating the vehicle's data history; at each third-party server, deciding based on a set of message issuance criteria to build a message for the user and conditions of delivery of this message concerning vehicle maintenance and/or advertisement messages.

Abstract: Access to Electronic Health Records (EHR) is protected by law in many countries, including the US through HIPAA. During an emergency medical situation however, access to this information by the Emergency Care Team (ECT) may save the life of the Person In Distress (PID). The present invention describes a system and method for managing the access to EHRs based on the membership in a pre-established ECT and the communication status of the ECT Members during an Emergency Event. This invention includes a method of Encryption key exchange to ensure EHRs are only shared with authorized participants during the emergency event. This system and method further provides for the secure and immutable recording of the individuals who accessed the EHRs during this emergency event.

Abstract: There is a need to perform predictive inference to predict likely adverse events of a drug regimen consisting of multiple drugs. In one example, a method includes determining, based at least in part on a graph-based predictive database, one or more predictive categories for each patient node of a plurality of patient nodes; determining, based at least in part on each one or more predictive categories for a patient node and each of one or more patient attribute nodes for a patient node, a related patient cohort for the primary patient node, wherein the related patient cohort comprises the primary patient node and one or more related patient nodes; determining, based at least in part on one or more intake relationships for each patient node in the related patient cohort, a first related drug profile for the primary patient node; and generating a first prediction interface based at least in part on the first related drug profile.

Abstract: Embodiments in the present disclosure relate generally to computer network architectures for machine learning, and more specifically, to computer network architectures in the context of program rules, using combinations of defined patient clinical episode metrics and other clinical metrics, thus enabling superior performance of computer hardware. Aspects of embodiments herein are specific to patient clinical episode definitions, and are applied to the specific outcomes of highest concern to each episode type. Furthermore, aspects of embodiments herein produce more accurate and reliable predictions of possible patient outcomes and metrics.

Abstract: Various surgical hubs are disclosed. A surgical hub is for use with a surgical system in a surgical procedure performed in an operating room. The surgical hub comprises a control circuit configured to: pair the surgical hub with a first device of the surgical system; assign a first identifier to the first device; pair the surgical hub with a second device of the surgical system; assign a second identifier to the second device; and selectively pair the first device with the second device based on perioperative data.

Abstract: Healthcare appointment information system and method enabling a patient to manage multiple accounts with third party sources through a single account. A user account is created for storing individual user healthcare data such as user preferences (e.g., Monday morning appointments or willingness to be placed on waiting lists), user names and passwords (for accessing third-party sources), contact information (phone, email, text), insurance plans, gender, age, medications, existing appointments and other healthcare information enabling the system to book an appointment on behalf of the patient on one or more availability sources. In addition to booking on the patient's behalf, the account information also enables patient communications with the various sources to be conducted through the system. For example, notifications from other availability sources can be transmitted through the system, which may reformat the message and communicate the reformatted message to the patient.

Abstract: Identifying and quantifying a professional relationship between a practitioner and a clinic. A method includes identifying a clinic associated with a practitioner by assessing claims processed by the practitioner, identifying the clinic that are processed by the practitioner, and calculating a total quantity of claims processed by the practitioner. The method includes quantifying a relationship between the practitioner and the clinic based on the quantity of clinic claims and the total quantity of claims.

Abstract: A system and method for updating patient devices is disclosed. The patient devices may include respiratory therapy devices that operate in accordance with instruction sets, such as software or firmware. A server may maintain a database of configuration data indicating the versions of the software and firmware that is currently installed on the patient devices. The server may also transmit updated instructions from over a network, including a wireless network. Particular patient devices may be selected for updating based on the configuration data. Upon performing an update a patient device may transmit configuration data to the server.

Abstract: A method, apparatus and computer program product provide for monitoring an adjudication network. In relation to a method, first information is caused to be provided by a request processor in response to an inquiry to be provided to a source. The method also receives an order including second information, different than the first information, from the source. The method further combines at least some of the second information with at least some of the first information to form an updated order and transmits the updated order to a supplier. Additionally, the method monitors the adjudication network, such as for a predefined period of time, to determine a status of the updated order and provides a notification to the source in response to the updated order having a predefined status.

Abstract: Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients.

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. A unique-machine readable code may be associated with a particular one or more prescription products (e.g., associated with a medical prescription of a patient). The unique machine-readable code may be provided to a computing device of the individual, along with an anticipated time of preparedness of the one or more products for retrieval at the retrieval location. Identification of the unique machine-readable code may result in dispensing of the one or more prescription products associated at the retrieval location.

Abstract: A method for healthcare revenue cycle management is disclosed, and includes receiving a transaction proposal at a first peer within a permissioned blockchain network (PBN). The transaction proposal includes a patient identity and a query, the query being a determination of unknown value to be made by a second organization of a plurality of organizations. Each organization of the plurality represents, within the PBN, one of a healthcare payer and a healthcare provider. The method also includes identifying a smart contract associated with the query and defined to automatically adjudicate the query. The method also includes invoking the smart contract in at least one endorsing peer, and receiving, from each endorsing peer, a proposed transaction response. The method further includes automatically adjudicating the query by executing chaincode on a second peer, operating on the required information to assign a value to the determination, then updating the immutable ledger.

Abstract: Computer network architectures for machine learning, and more specifically, computer network architectures for the automated completion of healthcare claims. Embodiments of the present invention provide computer network architectures for the automated completion of estimated final cost data for claims for healthcare clinical episodes using incomplete data for healthcare insurance claims and costs, known to date. Embodiments may use an automatic claims completion web application, with other computer network architecture components. Embodiments may include a combination of third-party databases to generate estimated final claims for pending patient clinical episodes, and to drive the forecasting models for the same, including social media data, financial data, social-economic data, medical data, search engine data, e-commerce site data, and other databases.

Abstract: System and method for coaching based on workout history. Improved solutions enable intelligent management of a user's personal fitness journey based on workout recommendations that closely align with the user's traits. In one exemplary embodiment, workout data for a population of different individuals is analyzed to identify groups of similarly performing individuals. Each group of individuals is analyzed to generate an expected profile that approximates the physiological and/or psychological traits of the group. An expected profile includes heuristics and/or performance metrics that enable dynamic coaching during workouts. Subsequently thereafter, user's can be dynamically coached by their client device, based on the expected profile.

Abstract: A user-initiated request from a user device of a user is detected. The user-initiated request is directed to a product provider, the user-initiated request includes one or more parameters. an anonymized request is created based on the one or more parameters. The anonymized request is sent to the product provider. A provider response is received from the product provider. A targeted response is generated based on the one or more parameters of the user-initiated request and based on the provider response. The targeted response is transmitted to the user device of the user.