Abstract: Disclosed here are systems and methods that allow users to create and customize workflow tolerances. The designed tolerances define and set guidelines, such as parameters, limitations, and tolerances, for the expected values of a workflow's input and output actions. The disclosed systems and methods, upon identifying values that fall out of determined guidelines, may: notify users of such values, trigger processes that pause or stop the workflow, and require user approval before resuming the paused/stopped workflow. Embodiments may comprise machine learning components that identify incorrect/irregular values without prior user designation. Such systems and methods improve communication technology between the networks and servers of separate parties relevant and/or dependent on successful execution of other workflows and processes; allowing for effective understanding, implementation, and engagement of workflows and processes across organizational boundaries.

Abstract: A medical apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to receive an input of test result information including a test result of each of tests that are related to a biological valve and were carried out at two or more different times; to estimate one of a test time for a follow-up observation of the biological valve and a test time for replacing the biological valve, on the basis of a chronological change in an open/close state of the biological valve derived from the received test result information; and to output the estimated test time.

Abstract: A computer implement method that assist healthcare payers in identifying potentially fraudulent claims and which requests confirmation preferably from a healthcare provider or patient of services rendered by the healthcare provider or products received by the patient. Confirmation of equipment and services can occur at different times in the settlement process including, but not limited to, prior to payments being made to health care providers.

Abstract: A system for calculating nutritional requirements in a display interface the system including a computing device configured to initiate a display interface within the computing device; retrieve an input, including an input credential, and wherein the input relates a representative profile to a nutritional requirement; generate a training set using the input; receive a meal option; calculate using a machine-learning process, a nutritional requirement of the meal option using the training set; determine the nutritional requirement of the meal option as a function of the machine-learning process; and display the nutritional requirement within the display interface.

Abstract: The invention includes remote-participation of a medical device manufacturing company representative in a medical procedure, whereby the device representative uses a variety of components to track and monitor devices in an operating room in “real-time,” while checking on device status and advising a surgeon through Wearable Video Technology rather than being physically present in the operating room. A system allows for a remote surgeon to advise surgeons, prepares for surgeries, chooses and tracks implant devices, evaluates and reports on device implantation, calibration and performance, evaluates surgeries and staff, prepares for and concludes procedures, trains medical staff members, performs billing functions, performs legal compliance functions, performs inventory restocking functions, and various other functions.

Abstract: Methods and systems for transferring restricted distribution medical products to an over-the-counter general sales environment are provided. Methods and systems of dispensing non-prescription, behind-the-counter medical products from a vending machine in a general sales location are also provided. In some embodiments, methods and systems are provided for dispensing a medical product from a vending machine in a general sales location based, at least in part, on biometric data collected from the purchaser and, in some instances, based on self-selection and/or de-selection criteria, is provided. Further, methods and systems of switching prescription medical products to non-prescription, over-the-counter medical products are provided.

Abstract: A computer-implemented method includes displaying a number of questions on a stack of overlapping graphical objects that dynamically indicates a status of the number of remaining questions, determining an output based on answers input by a user, and displaying an indication of the output.

Abstract: A wound multiple sensing method, including: calculating the similarity between the current data sequence and each of the case-data sequences in each of the reference cases; selecting the case-data sequence which has the greatest similarity with the current data sequence, from the case-data sequences in each of the reference cases, to be a similar case-data sequence in each of the reference cases, wherein each similar case-data sequence corresponds to a similar case treatment; performing a multiple regression analysis using the similar case-data sequences and the similar case treatments to calculate a fitness function, wherein the dependent variable of the fitness function is a wound change; performing a parameter optimization algorithm using the current data sequence and the fitness function to calculate an optimal treatment which maximizes the wound change, and to calculate an expected wound change value that corresponds to the optimal treatment.

Abstract: Phenotype analysis systems and methods. The methods described herein may involve receiving a phenotype query related to at least one phenotype of a patient. A processor executing instructions stored on memory may then select at least one of a first phenotype engine provided by a first entity and a second phenotype engine provided by a second entity to execute the received query on medical data associated with the patient. An interface may then output a result in response to the received phenotype query from at least one of the first and second phenotype engines.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for programmatic methodologies for determining and providing prior authorization requirements in a way that facilitates inputting information/data, updating information/data, searching information/data, viewing information/data, reporting information/data, and analyzing information/data while being broadly accessible to disparate systems.

Abstract: Methods and systems for analyzing data are described. In one embodiment, a method comprises a processor receiving a data analysis algorithm over a network and executing the data analysis algorithm, the data analysis algorithm analyzing data stored in a database using machine learning to identify a database organizational format, the data analysis algorithm identifying one or more locations for a set of data stored on the database based on identifying the database organizational format, the data analysis algorithm parsing the set of data to identify whether any entries in the database associated with the set of data includes a particular value, and the data analysis algorithm communicating over the network at least a first number of entries in the database that include the particular value and a second number of entries in the database that do not include the particular value.

Abstract: A method is provided for lowering blood sugar in a subject in need thereof by administering a gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition to a subject qualified for over-the-counter access to the gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition. In some embodiments, the gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition includes empagliflozin, canagliflozin, and ertugliflozin. In some embodiments, the gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition includes (2S,3R,4R,5S,6R)-2-[4-chloro-3-[(4-ethoxyphenyl)methyl]phenyl]-6-(hydroxymethyl)oxane-3,4,5-triol or a pharmaceutically acceptable salt thereof.

Abstract: A method and system for scanning claims data, the method comprising receiving, by a computing system, contract details associated with claims, receiving, by the computer system, prescription transactions data associated with the claims, parsing, by the computer system, the transactions data into column values, and executing, by the computer system, analytics on the parsed transactions. The analytics include comparing the parsed transactions against the contract details for accurate pricing, fees, and accepted treatment protocols concerning dose and quantity, comparing the parsed transactions with independent pricing data that is based on third-party pricing data and drug information, identifying material errors in the parsed transactions, determining withholdings from payment of the claims for a portion above a tolerance level based on the identified material errors. The method further comprising presenting, by the computer system, results of the execution of the analytics to a portal.

Abstract: The present teaching relates to medical suggestion searching. In one example, data related to a medication drug are obtained. One or more candidate prescription strings are identified from the obtained data. Each of the candidate prescription strings is associated with a plurality of attributes. Each of the one or more candidate prescription strings is automatically processed based on at least one model to generate one or more prescription strings each with an associated ranking. At least some of the generated one or more prescription strings and the associated rankings are stored for future use.

Abstract: A method for reinforcement machine learning uses a reinforcement learning system that has an environment and an agent. The agent has a policy providing a mapping between states of the environment and actions. The method includes: determining a current state of the environment; determining, using the policy, a current policy output based on the current state; determining, using a knowledge function, a current knowledge function output based on the current state; determining an action based on the current policy output and the current knowledge function output; applying the action to the environment resulting in updating the current state and determining a reward; and updating the policy based on at least one of the current state and the reward.

Abstract: A dynamic image analysis apparatus includes a hardware processor and a display. The hardware processor performs tagging for classifying. The hardware processor extracts a feature amount from frame images and calculates a change amount in a time direction of the feature amount. When a second dynamic image is input, the hardware processor selects an extractable feature amount from a related dynamic image which is the first dynamic image determined to be related with the second dynamic image, the first dynamic image and the second dynamic image. The display is capable of displaying a change over time in the frame images included in one occasion of imaging of the dynamic image, the change over time between the second dynamic image and the selected related dynamic image and the change over time between the feature amount extracted from the second dynamic image and the feature amount extracted from the related image.

Abstract: An example system includes a processor to assign a first medical exam to a first examiner based on a workload availability threshold for the first examiner and an examiner availability indicator for the first examiner. The processor can deliver the first medical exam to one of a reading tool displayed via a first graphical user interface or an examiner work queue displayed via a second graphical user interface. The processor can automatically adjust a workload availability threshold for a second examiner and the first examiner based on a first adjustment, assign a second medical exam to the first examiner or the second examiner based on the respective adjusted work availability thresholds for the first examiner and the second examiner, and auto-serve additional medical exams to the first examiner or the second examiner based on a priority level of the additional medical exams.

Abstract: The present disclosure provides methods, systems, and non-transitory computer-readable media for collecting, storing, assessing, and managing human readable diagnostic test results (e.g., results from Point-of-Care testing and self-testing). The present disclosure provides methods, systems, and non-transitory computer-readable media for collecting, storing, assessing, and managing images and image results. The systems and methods facilitate unbiased verification and notification of test and image results.

Abstract: A system, method, server, and computer readable medium for tracking goal progression. Input is received establishing one or more clients. The one or more clients are individuals receiving treatment or assistance. Each of the one or more clients are assigned to one or more providers in response to selections from an administrator. The one or more providers include at least individuals available to treat or assist each of the one or more clients and one or more biometric devices associated with the one or more clients. Goals are established for each of the one or more clients. Data associated with each of the one or more clients is compiled as received from the one or more providers in the server. A determination is made where the goals are being met in response to the thresholds for the compiled data. Alerts are automatically communicated in response to the compiled data varying from a threshold to become significant for one of the one or more clients.

Abstract: Sharing data in a data exchange across multiple cloud computing platforms and/or cloud computing platform regions is described. An example computer-implemented method can include creating a listing in a data exchange, the listing including a data set hosted by a first cloud computing entity. The data set can be shared with a second cloud computing entity. The method further includes receiving a request associated with a customer account of the second cloud computing entity to access the data set of the listing hosted by the first cloud computing entity and replicating at least a subset of the data set of the listing from the first cloud computing entity to a provider account at the second cloud computing entity to be accessible by the customer account at the second cloud computing entity.

Abstract: Systems and methods for enforcing a cleaning of a medical device are disclosed. A method includes receiving an indication that a medical device has been exposed to a contaminate, providing, responsive to receiving the indication, an instruction to disable the medical device, receiving, after transmitting the instruction, cleaning information indicating that a cleaning of the medical device was attempted, identifying a predetermined cleaning procedure corresponding to the medical device and the contaminate, determining, based on the cleaning information, that the medical device was cleaned according to the predetermined cleaning procedure corresponding to the medical device and the contaminate, and enabling the medical device responsive to determining that the medical device was cleaned according to the predetermined cleaning procedure.

Abstract: Disclosed are a system, methods and computer-readable medium products that provide bolus dosage calculations by a control algorithm-based drug delivery system that provides automatic delivery of a drug, such as insulin or the like, based on sensor input. Blood glucose measurement values may be received at regular time intervals from a sensor. Using the blood glucose measurements, the control algorithm may perform various calculations and determinations to provide an appropriate bolus dosage. The appropriate bolus dosage may be used to respond to a trend in a trajectory of blood glucose measurements. In addition, a bolus dosage may also be determined by the disclosed device, system, method and/or computer-readable medium product in response to an indication that a user consumed a meal.

Abstract: In one implementation, an insulin delivery system using an on-body network includes an insulin delivery device that is adapted to administer dosages of insulin to a patient; a controller that is adapted to control operation of the insulin delivery device, to establish a first network connection in which the controller acts in a central role, and to establish a second network connection in which the controller acts in a peripheral role; one or more peripheral devices that are adapted to generate patient data related to blood glucose levels and to transmit the patient data wirelessly over the first network connection, the peripheral devices acting in a peripheral role over the first network connection; and a mobile application installed on a mobile computing device that is programmed to communicate with the controller over the second network connection, the mobile application communicating in a central role over the second network connection.

Abstract: Provided are systems and methods for identifying a counterpart entity of a transaction from a transaction string. In one example, a method may include identifying a transaction string from an account of a target entity, the transaction string comprising a record of a payment that changed a balance of the account, executing a machine learning model based on the transaction string to determine a counterpart entity of the transaction with respect to the target entity, wherein, during execution, the machine learning model receives the transaction string as input and outputs an identifier of the counterpart entity, generating a data structure comprising a first field that stores the transaction string and a second field that stores an identifier of the counterpart entity, and storing the data structure within a file.

Abstract: A system is for infectious disease notification. The system includes at least one processor, configured to use a machine learning monitoring algorithm, trained on a large number of EMR datasets of patients, to calculate a probability for an infectious disease from a provided EMR dataset and compare the probability of the provided EMR dataset calculated with a known value. In training of the monitoring algorithm, the value represents whether there was an onset of an infectious disease or not and the monitoring algorithm is designed to adjust parameters of the monitoring algorithm. And in evaluating a notification, the value is a threshold value and the system is designed to output a notification upon the probability being greater than the threshold value.

Abstract: A cloud big data-based system and method for insulin pump individualized configuration optimization are provided. The system includes an insulin pump, a real-time continuous glucose monitoring system, a smart phone, a glucose monitoring application software installed in the smart phone and a cloud big data server. By means of personal blood glucose measurement historical data of users stored in the cloud, the insulin pump individualized configuration optimization system provides effective calculation of an individualized optimal insulin injection volume and injection rate for each user, thus aiding physicians and patients to formulate diabetes treatment plans with increased effectiveness.

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: 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: A method for providing a healthcare system. The method comprises a machine learning system: obtaining and labelling patient data to produce labelled patient data relating to one or more patients; determining one or more predictions based on the labelled patient data; receiving, from a user, one or more user inputs labelling each of the one or more predictions as a success or a failure; generating training data based on the labelled patient data and the one or more user inputs; and training the machine learning system based on the training data.

Abstract: Systems and methods for providing a digital content item to an authorized user are described. A system for providing access to a digital content item comprises a network interface, a memory, and one or more processors, the one or more processors to process a user request to obtain a digital resource identifier corresponding to a user-requested digital content item; select a digital resource provisioning platform to provide the user-requested digital content item, the selection based on holdings availability data; generate a link to the user-requested digital content item on the selected digital resource provisioning platform based on one or more rules specific to the selected digital resource provisioning platform; and provide to the user's computing device the link to the user-requested digital content item on the selected digital resource provisioning platform, the link to navigate a user interface directly to a view of the digital content item responsive to a selection of the link.

Abstract: A system is disclosed for determining the location of hospital assets. The system includes one or more communication devices each associated with a respective asset identification and a computing device configured to communicate with the communication devices via a network. The computing device receives, from a respective communication device, data comprising the respective asset identification of the respective communication device an identifier associated with a patient or a patient care device, obtains, from a database based on the identifier, additional information pertaining to the patient or the patient care device, and determines a location of the respective communication device based on the data received from the respective communication device and the obtained additional information.

Abstract: Disclosed are systems, methods, and computer program products for tumor lesion identification, segmentation, tracking and analysis, wherein a 3D spatial distribution of the tumor lesions in a target organ forms a unique 3D point structure for a patient.

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: 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 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: 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 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: 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: 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: 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: 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: 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: 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.