Abstract: A data processing system is configured to identify treatment responsive to a health risk determined from feature data provided by one or more networked data sources. A classification engine generates a feature vector based on a natural language processing (NLP) of input data representing words provided by a user. Features of the feature vector represent health risk factors. Machine learning logic classifies the features to generate a classification metric indicating whether the features are indicative of health risks or not indicative of health risks. A prediction value is generated indicating a likelihood of each health risk factor for the patient. The patient can be diagnosed with a health condition or disease based on the identified health risks.

Abstract: To automate a pricing strategy for an otherwise unpriced service or item, prices may be generated through a plurality of different pricing models, via a pricing engine passing input data to a plurality of discrete pricing models. Those pricing models may pass data back to the pricing engine, which then adjudicates the results of the pricing models to identify a most-relevant pricing model for the particular unpriced service or item.

Abstract: An image processing apparatus includes a generation unit configured to read an image of a document and to generate an image file based on the read image, a transmission unit configured to transmit the image file generated by the generation unit, a determination unit configured to determine a file name of the image file, and a reception unit configured to receive patient information from an information processing apparatus. The determination unit determines the file name of the image file based on patient information selected by a user from the patient information received by the reception unit.

Abstract: Systems and methods described herein improve outcomes of subjects with lymphoma. Subjects with lymphoma may be able to avoid conventional treatments that have a high probability of leading to an adverse effect in the subject. Systems and methods allow for a more accurate prediction of subjects who cannot tolerate a particular treatment. Methods may include accessing an input data set that includes multiple input data values pertaining to a particular subject with lymphoma. The method may further include inputting the input data set into a machine-learning model to generate a score corresponding to the degree to which the particular subject will tolerate a particular treatment. The method may include outputting a prediction of the tolerance of the particular subject to the particular treatment using the generated score.

Abstract: Methods and apparatuses for automatic treatment planning, including recommendation systems, quality assurance, error prevention, text mining, text matching, and treatment planning optimization.

Abstract: Predictive models are built for the estimation of adverse health likelihood by identifying candidate model risk variables, constructing a model form for an outcome likelihood model that estimates the likelihood of an adverse outcome type using a group of risk variables selected from the set of candidate model risk variables and by classifying each selected risk variable into either a baseline group or a dynamic group. Additionally, predictive models are built by constructing separate baseline and dynamic outcome likelihood model forms and by fitting the constructed model forms to a training data set to produce final models to be used as scoring functions that compute a baseline outcome likelihood and a dynamic outcome likelihood for patient data that is not represented in the training data set. The predictive models can be used with alerting and attribution algorithms to predict the likelihood of an adverse outcome for individuals receiving care.

Abstract: Methods and devices include database management and graphical user interfaces for measurements collected by analyzing blood.

Abstract: An example computer-implemented method for analyzing skin of a user comprises requesting, via a graphical user interface (GUI), visual media including a face of the user, processing the visual media to generate information for each of a plurality of skin conditions of the face of the user and the information comprises a score per each of a plurality of zones of the face of the user per each of the plurality of skin conditions of the face of the user, mapping the score to a severity level associated with the plurality of skin conditions, and for each of the plurality of skin conditions, the GUI overlaying computer graphics at locations onto the visual media corresponding to the plurality of zones of the face of the user. The computer graphics are depicted with a color associated with the severity level for the skin condition at each of the locations.

Abstract: A method includes receiving an event tracking query for a patient health care transaction from a requestor; receiving state transition updates for the event from ones of a plurality of different transaction processing entities that are independently controlled with respect to each other; mapping the state transition updates to a representational workflow model, which defines a plurality of tracking states; generating an event tracking result based on the mapping of the state transition updates to the representational workflow model and the plurality of different transaction processing entities; and communicating the event tracking result to the requestor.

Abstract: The present invention relates to the field of Internet of Things communication technologies, and in particular, to an Internet of Things tablet device registration method and system based on a registration template. The method includes the following steps: A terminal device sends a zero-contact registration request to a cloud server; the cloud server retrieves a corresponding registration template based on a product serial number in the zero-contact registration request, binds the retrieved registration template to the terminal device, and generates a communication token corresponding to the terminal device; and based on the communication token, the terminal device establishes a communication connection to the cloud server, downloads an initialization configuration task from the cloud server, and completes initialization setting based on the initialization configuration task.

Abstract: In an automated insulin delivery device, fuzzy logic may be applied to the responding to the possibility of a user taking additional action that may affect the blood glucose concentration. Fuzzy sets may be defined for empirically derived different likelihoods of the user taking such additional action based on correlated factors. A membership function may be provided for each fuzzy set. The membership function may provide a probability of membership in the set based on a parameter. Each fuzzy set may have a response that is reflective of the likelihood of additional user action associated with the fuzzy set. The responses by the AID device to each of these cases may reflect the probability of each such case occurring as evidenced by empirical data.

Abstract: A computerized method includes obtaining a set of historical data characterizing interactions of a user with a first network provider and a second network provider. The first network provider includes a restrictive condition with respect to the second network provider, and the restrictive condition indicates that a network provider preference included in configuration data corresponding to an account of the user is constrained to one of the first network provider or the second network provider. The method includes generating, using the set of historical data, a predicted network provider indicating one of the first network provider or the second network provider. The method includes communicating the predicted network provider as a recommended network provider preference for the configuration data corresponding to the account of the user.

Abstract: An electrocardiogram (“ECG”) system is provided. The system includes an ECG device capable of receiving ECG signals from a lead system attached to the user. The ECG device then renders the ECG signals into ECG data, and transmits the ECG data to at least one of a user device, such as a smart phone, or a cloud-based storage system. The user device is capable of rendering the ECG data into an ECG graph, and displaying the ECG graph to the user on an application (“app”). The system also provides for a cloud-based storage system capable storing the ECG data and providing access to the ECG data to the user and to medical personal.

Abstract: A method for practicing precision medicine comprising providing, to a blockchain platform, each of clinical data and genetic data, providing the blockchain platform, the blockchain platform having a first data structure comprising clinical data and a second data structure comprising genetic data, harmonizing the first and second data structures, creating at least one cohort based on the harmonized first and second data structures, and identifying at least one relationship between the clinical data and the genetic data in each of the at least one cohort.

Abstract: Techniques for glucose level management are disclosed. In some examples, the techniques may involve obtaining an estimated protein value for a meal and determining an equivalent carbohydrate value for the meal based on the estimated protein value. In some examples, the techniques may involve obtaining an estimated fat value for a meal and determining, based on the estimated fat value, a glucose absorption rate resulting from consumption of the meal. In some examples, the equivalent carbohydrate value and/or the glucose absorption rate may be used to determine an amount of insulin to deliver to a patient to counteract a glucose level increase caused by consumption of the meal. The techniques may further involve generating an output indicative of the amount of insulin to deliver to the patient to counteract the glucose level increase caused by consumption of the meal.

Abstract: A method, apparatus and computer program product are provided to estimate at least one target quantitative measure based upon historical electronic messages. The historical electronic messages may be partitioned based on geographic areas. The target quantitative measure may be estimated based upon respective binary categorical indicators, and respective quantitative measures of the historical electronic messages. The target quantitative measure may be adjusted dependent upon a quantitative criterion of an entity. The target quantitative measure may be used to price prescription drugs and/or the like, and may impact prescription adherence and/or pharmacy profit margins.

Abstract: Systems and methods for remote badging and/or computer access, automatic individual verification, automatic vaccine verification and/or automatically remotely determining an individual's physical presence at a site are provided. The systems and methods include automatic vaccine proof verification.

Abstract: A method and apparatus for graph processing in a relational database environment is provided. Preprocessing transformations that enforce restrictions on a high-level domain-specific language (DSL) input is performed to generate one or more graph iterations. At least one query intermediate representation (IR) is generated by lowering the one or more graph iterations into at least one query. The query IR is/are mapped to one or more corresponding relational queries with procedural extensions. The relational queries with procedural extensions are run against relational database management system (RDBMS) tables representing at least one property graph.

Abstract: A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

Abstract: Hierarchical data objects are generated via a computer-based system for applying a series of rules to establish episode-specific data objects reflecting a plurality of discrete claim records before further dissecting the generated episode-specific data objects prior to finalization of those episode-specific data objects to identify claim records within the episode-specific data objects that are eligible for generation of one or more sub-episodes within the episode-specific data objects. The identified sub-episodes are reflected within the episode-specific data object to designate complete episodes of care that additionally reflect interactions with the corresponding parent episode.

Abstract: A method for providing telemetry modeling to facilitate workflow visualization is disclosed. The method includes detecting, from a data stream, an initiation of a workflow on a platform; aggregating platform data to generate an initial operating state of the platform; persisting, in a repository, the initial operating state together with an identifier that is associated with the workflow; capturing, via a graphical user interface, telemetry data that corresponds to the workflow, the telemetry data including user telemetry data and associated platform telemetry data; distilling the telemetry data to generate data sets, the data sets representing change events in the workflow; and persisting, in the repository, the data sets together with the initial operating state.

Abstract: The disclosed technology includes a method for determining outcomes of patients across healthcare centers, the method including: receiving, at a computer system, patient data for patients in healthcare centers, training, using machine learning techniques and a portion of the data for the burn patients, a predictive model to predict patient outcomes based on assessing patient data for patients across the healthcare centers, and returning the trained predictive model for runtime use. During runtime use, the method can include: providing the patient data as input to the predictive model, receiving, as output, predicted patient outcomes for at least one patient amongst the patients in the healthcare centers, generating, based on the predicted patient outcomes, at least one care recommendation, generating output representative of the predicted patient outcomes and the care recommendation, and transmitting the output to a user computing device for presentation in a graphical user interface (GUI) display.

Abstract: A distributed computing system for managing blood collection procedures in a blood collection facility includes a system server including a memory and a communication interface, the system server configured to store data identifiers for a plurality of different human operators. A plurality of computerized blood collection instruments are configured to collect blood from donors to generate collected products, each blood collection instrument comprising a communication interface configured to transmit data regarding the blood collection instrument to the system server. The system server stores data identifiers for each blood collection instrument. A computer is coupled to the system server and configured to present a dashboard for improving operational performance at and/or across blood collection facilities. The dashboard displays procedure data, data regarding the plurality of different human operators and data tracking each operator's activities or performance on a display.

Abstract: A method for managing medication delivery risk is provided. The method obtains risk data for medication deliveries in an identified geo-spatial location, and generates a predicted risk score based on a machine learning model trained to analyze the risk data. As described herein, the predicted risk score indicates whether a delivery interruption is required for the medication deliveries in the identified geo-spatial location. When the predicted risk score indicates a required delivery interruption, the method (i) removes queue entries for one or more of the medication deliveries from a delivery queue, to implement the required delivery interruption; (ii) generates an interruption notification associated with the required delivery interruption; and (iii) transmits the interruption notification.

Abstract: A method and a system for managing healthcare records of a user are provided. The method includes storing an electronic medical record related to the user in form of a non-fungible token (NFT) written to a blockchain, associating a smart contract to the NFT in the blockchain, authorizing a request to access the electronic medical record related to the user based on the defined ownership of the electronic medical record stored in the blockchain, identifying one or more NFTs from the blockchain comprising one or more electronic medical records related to the user based on processing of the identifier information in associated one or more smart contracts therewith, in response to the request, and sending the one or more electronic medical records corresponding to the identified one or more NFTs to a requestor associated with the request.

Abstract: A computing system enables individuals and organizations to self-insure a benefit, e.g., a dental plan benefit. The system leverages a patient-centric data construct that evolves in a multi-dimensional manner as a patient continuously interacts with the system, its providers, participating organizations, etc. Using the patient-centric information repositories about the various participants (and their interactions), the system applies machine learning to the data to create data models that, in turn, provide valuable insights, or to otherwise enable more-efficient settlement processing. For example, a model may be used to determine an optimal patient-dentist match (by looking at utilization best provider outcomes), or a dentist over-provision of certain services (indicated by provider codes, thereby possibly indicative of fraud). Using patient-centric data modeling, the system determines if, when and how an organization can reduce expenses (e.g.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a communication interface, a memory, and a processor, wherein the processor is configured to acquire a user command from the user and control the communication interface to transmit the user command to a plurality of external devices, receive information on a first question generated based on the user command and information on first response to the generated first question acquired from users of each of the plurality of external devices, identify whether there a conflict between each first response occurs, acquire information on a subject to be re-questioned, control the communication interface to transmit information on the conflict to at least one external device identified, receive information on a second response to a second question generated, and acquire a final response based on the information on the first response and the information on the second response and output the final response.

Abstract: A system for optimizing supplement decisions is disclosed. The system includes a computing device configured to receive a longevity inquiry from a remote device. The system retrieves a biological extraction pertaining to a user and identifies a longevity element associated with a user. The system selects an ADME model utilizing a biological extraction. The system generates a machine-learning algorithm utilizing the selected ADME model to input a longevity element associated with a user as an input and output an ADME factor. The system identifies a second longevity element compatible with the ADME factor as a function of the first longevity element. The system selects the second longevity element as a tolerant longevity element. A method for optimizing supplement decisions is also disclosed.

Abstract: Disclosed herein is a method of facilitating improving behavioral skills of users, in accordance with some embodiments. Accordingly, the method comprises receiving, using a communication device, a request from a user device. Further, the method comprises obtaining, using a processing device, a content based on the request. Further, the method comprises analyzing, using the processing device, the content using machine learning models. Further, the machine learning models are configured for determining the communication attributes. Further, the method comprises identifying, using the processing device, a behavioral skill from behavioral skills based on the determining. Further, the method comprises generating, using the processing device, a score corresponding to each of the behavioral skill based on the determining of the communication attributes and the identifying. Further, the method comprises transmitting, using the communication device, the score to the device.

Abstract: A storage system for storing medical products, in particular temperature-sensitive medical products, and a method for storing medical products in such a storage system. The storage system includes a storage area with a plurality of storage spaces for a respective type of medical product and at least one sensor for detecting an ambient parameter of the storage area. The storage system has a plurality of sensors, each of which is designed as a data logger and each of which is arranged in a manner specific to the storage space to automatically detect at least one storage space-specific ambient parameter. The storage system has at least one reading device for reading the data loggers.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for customizing monitoring programs involving remote devices. In some implementations, at least one of subject attribute data describing characteristics of subjects or subject outcome data including results from monitoring programs that involved the subjects are extracted from a subject database. The subjects are grouped into different groups according to levels of similarity among attributes of the subjects or monitored outcomes for the subjects. A profile is constructed for a group which includes defining inclusion criteria for the group based on aggregate data for the subjects in the group. Data sets are used in the subject database to characterize, for each profile, differing effects of elements of monitoring programs on program compliance outcomes for subjects that satisfy the criteria of the profile.

Abstract: Innovative techniques and apparatuses to control metaverse presentation are disclosed. The proposed techniques and apparatuses allow prevention of overindulgence to metaverse presentation based on user biometrics (e.g., oxygen saturation, heart rate, body temperature, blood pressure, etc.). If the biometrics indicate that the user's health is compromised due to the metaverse presentation, the metaverse presentation (visual, audio, haptic outputs) may be altered to reduce the user's overindulgence.

Abstract: System and methods for automating preauthorization of genetic efficacy testing with prescription dispensation are provided. Coverage requests for medicines are received from pharmacy systems. Databases are queried to retrieve policy rules for the coverage requests. A coverage decision analysis is performed and where an associated medication is otherwise approved for coverage and where genetic efficacy testing is available for the associated medication, a prior authorization for such genetic efficacy testing is automatically generated and included with which is transmitted together with an approval of coverage decision to a requesting one of said number of pharmacy systems.

Abstract: A system is provided for registration, check-in, and service tracking of patients. In an example arrangement, the system includes a front end system and a back end system. The front end system including one or more web servers that are configured to provide one or more web portals. The back end system is communicatively connected to the front end system. The back end system includes a data server and a processing server. The processing server configured to store patient data for scheduled appointments in the data server in a standardized format. The processing server is configured to provide access to the patient data to the one or more web portals. The one or more web portals are configured to communicate with the processing server to provide access permit the patient and staff remote access to the patient data to facilitate pre-registration, check-in, and service tracking of patients.

Abstract: A method to verify documentation, such as healthcare documentation, in real-time is described. An image of a first document and demographic information is received from a patient. Optical character recognition (OCR) or QR code, barcode, or machine readable zone (MRZ) reading is performed on the image of the first document and a patient identifier is extracted from the first document. The patient identifier is compared to content in a database to identify a second document related to the first document that shares the patient identifier with the first document. The first document and the second document are verified as being associated with the patient based on the comparison and predefined business rules. OCR errors are identified in the first document and corrected using content from the second document. The method occurs prior to and allows the patient to pay for a healthcare appointment prior to attending the appointment.

Abstract: Disclosed herein are RFID enabled medical device systems including an RFID emitter configured to provide an interrogation signal that impinges on an RFID tag associated with a medical device to trigger a response signal. The response signal can indicate and presence or absence of the medical device proximate to the RFID emitter. A console communicatively coupled to the RFID emitter can determine, record, and analyze procedural or usage information about the medical device. Further information about the medical device can be encoded within the response signal and provided to the console. Console settings can be automatically updated based on the information within the response signal. Additional modalities are also contemplated including optical image recognition of medical device kits. Further AR viewers can provide image overlays to guide a user in correct procedure. Procedural compliance can be automatically recorded and monitored.

Abstract: Systems and techniques for the collection and display of athletic information. Athletic data relating to a single person or group of people is collected at a central location, and subsequently displayed at a desired remote location so that the person or people can review and critique their performance. In addition, athletic data for multiple persons can be collected at a central location, and subsequently displayed to a user at a desired remote location, so that the user can compare his or her athletic activities to others.

Abstract: A gamified pharmaceutical packaging, dispensing system, and methodology is disclosed. The innovative gamified smart packaging system and methodology provides a variety of incentives to patients and relevant teams to take their medications, on time, and at the correct dosage. The system comprises monitored pharmaceutical dispensing devices that communicate with a plurality of compute devices, or smartphones. Each time the patient dispenses the medicine from the dispensing device, a signal is transmitted to the compute device. Upon receiving the signal, the compute device records the dispensing event, calculates a specific “score” for that event, and reports the patient's cumulative “score” of successfully dispensing the medicine. If a dispensing event signal is not received in a timely fashion, the system sends a prompt to the patient to take their medication. Accumulating points by properly taking the prescribed medication allows the patient and/or team to be eligible to receive various benefits.

Abstract: A monitoring system for monitoring a patient in an examination space of an imaging apparatus may include an interface, a computing device and an output device. The interface can receive process data of the imaging examination and transfer it to the computing device. The computing device may process the process data and control the output device to provide an item of information of the imaging examination based on the process data. The monitoring system enables visual monitoring of the patient and of the item of information using the output device.

Abstract: A computer-implemented method, computer program product and computing system for receiving a query for a health-related product from a user; processing the query to identify providers from which the health-related product may be purchased; and rendering a multi-item result set for the user, wherein each item in the multi-item result set is associated with a provider name, a health-related product cost and a geographic proximity between the user and the provider.

Abstract: A private networked database system utilizing mobile devices offers centralized access, reconciliation, and sharing of data, for example consumer immunization information. The system provides technical features not previously available, including bidirectional data transmission and replication across government-controlled databases located in multiple states.

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 for determining and indicating expectedness of a first adverse event. The method includes receiving adverse event data associated with the first adverse event. The method further includes receiving request to generate a section of an electronic aggregate report. The request includes an aggregate report type, a reporting period start date, and the reporting period end date. The method includes determining and receiving an electronic reference document including a defined adverse reaction. The defined adverse reaction includes an active start date. The method further includes determining an expectedness cut-off date and the expectedness of the first adverse event. The method further includes generating the section of the electronic aggregate report and indicating the first adverse event is unexpected in the section of the electronic aggregate report.

Abstract: A scheduling system includes: a plurality of input devices configured to output medical data, a workforce storage, configured to store working characteristics of a plurality of doctors, and a scheduler configured to receive as input data related to the medical data and the working characteristics, and configured to provide as output a plurality of schedules for the plurality of doctors for analysing the medical data.

Abstract: A differential sequence object is constructed on the basis of alignment of sub-strings via incremental synchronization of sequence strings using known positions of the sub-strings relative to a reference genome sequence. An output file is then generated that comprises only relevant changes with respect to the reference genome.

Abstract: A multi-vendor risk relationship data store may contain electronic records representing a plurality of risk relationships between multiple vendors and an enterprise and, for each risk relationship, an electronic record identifier and a set of attribute values. An information sharing portal computer server may exchange an information request with a remote vendor platform. The information request may be, for example, associated with an employee of a sponsor associated with the vendor platform. The server may process the information request via a customized vendor-specific information sharing portal interface display and execute an algorithm to adjust, based on at least one attribute value, interactions with the vendor platform via the portal interface display. The server may also aggregate information associated with a plurality of vendor platforms and transmit the aggregated information to a remote administrator device associated with the enterprise.

Abstract: Systems and methods are provided for evaluating pain for a user. A first pain-relevant parameter representing the user is monitored at an in-vivo sensing device over a defined period to produce a time series for the first pain-relevant parameter. A value for a second pain-relevant parameter for the user is obtained at first and second times in the defined period from the user via a portable computing device to provide respective first and second values for the second pain-relevant parameter. A value is assigned to the user via a predictive model according to the time series for the first pain-relevant parameter, the first value for the second pain-relevant parameter, and the second value for the second pain-relevant parameter.

Abstract: A monitoring server is provided for learning event patterns in pharmaceutical order processing and identifying anomalous events based on learned event patterns. The monitoring server is configured to define a plurality of feeds of monitoring data from the monitored nodes using a monitoring link. The feeds of monitoring data are defined at least partially based on the monitoring vector definition. Each feed of monitoring data is associated with pharmaceutical order processing. The processor is additionally configured to determine a set of monitoring vector data for each of the plurality of feeds of monitoring data. The processor is also configured to identify a monitoring vector signature for each of the plurality of feeds. The processor is also configured to identify an anomalous data pattern. The processor is also configured to transmit an alert indicating that pharmaceutical order processing for the associated feed of monitoring data is anomalous.

Abstract: A system for compounding medications. The system includes one or more compounding devices, and a central computer system. The central computer system receives requests, at least some of which require the compounding of one or more medications, and pushes assignments of respective compounding tasks to the one or more compounding devices. The assignments are made based at least in part on records of performance to promote efficient use of compounding resources.

Abstract: A bed-leaving prediction device (server device) (10) is connected through a digital communication network (60) to: a portable information processing terminal (40) of care staff; environmental sensors (32 to 34) for detecting environment values such as temperature in a room; a human sensor (31); and a bed sensor (35). A bed-leaving prediction processing section (115) calculates a bed-leaving prediction value indicative of a degree of possibility that a care recipient leaves a sleeping furniture after a second time interval has expired since a current time point based on a plurality of environment values detected in a time period between the current time point and a time point before expiration of a first time interval, outputs of the human sensor, and outputs of the bed sensor.