Abstract: A microphone module system comprising a microphone module with memory. The microphone module is connected to an original factory installed microphone of a vehicle and connected to an aftermarket radio to allow the original factory installed microphone to be compatible with an aftermarket radio. The microphone module includes a computer program that calibrates the factory installed microphone with the aftermarket radio that is originally embedded in the module memory. A method to remotely flash the module comprises steps of transferring a computer program to the microphone module, installing the microphone module in the vehicle, and calibrating the microphone module with the original factory microphone. The computer program may be specific to a make/model of a vehicle or universally applicable to all vehicles.

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 disclosure is directed to systems and methods for identifying demographic information in a data file. The method may include: receiving the data file containing a plurality of fields of demographic information from a third-party, the data file having inconsistent or mislabeled nomenclatures for one or more fields of the plurality of fields or spurious demographic information; analyzing the data file using a machine learning model trained according to other data files to distinguish between each of the plurality of fields of demographic information, the machine learning model being based on a plurality of machine learning algorithms to identify different types demographic information; generating a score indicating a probability that each of the plurality of fields of demographic information was identified correctly; and generating a revised data file labeling each of the plurality of fields of demographic information based on the identified type.

Abstract: A method and Graphic User Interface (GUI) system of data analysis for training a discriminative machine learning model are provided. One or more sets of data are provided to a large language model (LLM) for a predefined task with or without prompts provided by a user; the results output by the LLM is compared with a set of initial human-supplied ground truth data generated by the user to produce performance metrics, the user may provide or update one or more prompts for the LLM based on the performance metrics till the performance metrics reach a threshold. The set of initial human-supplied ground truth data and the results of the LLM can be used to train a discriminative machine learning model.

Abstract: The present disclosure is directed to systems and methods for extracting unstructured data from a data source in a structure manner. Embodiments provide ways to retrieve unstructured data along from data sources not optimized for automated retrieval. For example, embodiments may generate a branched tree for each data source that maps out paths to individual sites of, for example, a healthcare provider listing the unstructured data. Using this branched tree, tasks can be generated to navigate along a path with the data source to each site and extract the unstructured data from the data source. In this way, embodiments provide the ability to navigate through a site from a base site to a site that has the relevant data.

Abstract: A microphone module system comprising a microphone module with memory. The microphone module is connected to an original factory installed microphone of a vehicle and connected to an aftermarket radio to allow the original factory installed microphone to be compatible with an aftermarket radio. The microphone module includes a computer program that calibrates the factory installed microphone with the aftermarket radio that is originally embedded in the module memory. A method to remotely flash the module comprises steps of transferring a computer program to the microphone module, installing the microphone module in the vehicle, and calibrating the microphone module with the original factory microphone. The computer program may be specific to a make/model of a vehicle or universally applicable to all vehicles.

Abstract: The present disclosure is directed to methods and non-transitory program storage devices for identifying demographic information in an input data file even in the face of known errors that would otherwise prevent the method from operating. When a fault condition is detected, a fault handler may attempt to fix the faulty data, remove the faulty data from the input data file being processed, or provide the faulty data at a user interface so a human user can intervene. The method and storage devices may continue processing the data regardless of whether human input has been received because the system can bypass or remove the data, thereby keeping the method fault tolerant.

Abstract: The present disclosure is directed to methods and non-transitory program storage devices for identifying demographic information in an input data file and converting that data into autonomous data of an export entity file. In an embodiment, the received tabular data is sorted based on a lowest number of unique entities of a certain type in the revised data file, common data describing the lowest number of unique entities is extracted, labeled, and stored as an autonomous export entity file. In an embodiment a plurality of autonomous export entities are linked to create a master export entity comprising the plurality of autonomous export entities.

Abstract: Disclosed herein are system, method, and computer program product embodiments for linking data records in memory. The system, method, and computer program product includes accessing a first record stored in memory, the first record holding information describing a first person and accessing at least one additional record stored in memory, the additional records holding information describing additional persons. The method continues by parsing the information of the first record and additional record and assigning the parsed information to predefined categories within the respective records. After assigning the information into categories, a similarity score between categorical information in the first record and categorical information of additional records is determined. A category of an additional record is then modified based on the similarity score, so the additional record is associated with the first person.

Abstract: The present disclosure is directed to methods and non-transitory program storage devices for identifying demographic information in an input data file even in the face of known errors that would otherwise prevent the method from operating. When a fault condition is detected, a fault handler may attempt to fix the faulty data, remove the faulty data from the input data file being processed, or provide the faulty data at a user interface so a human user can intervene. The method and storage devices may continue processing the data regardless of whether human input has been received because the system can bypass or remove the data, thereby keeping the method fault tolerant.

Abstract: A computer-implemented method for selectively providing access to medical record information is disclosed. The method includes receiving, at a computer system, one or more digital images of a healthcare patient from a computing device that corresponds to a user account that is authorized to obtain information about patients in a healthcare system; using computerized facial recognition to identify the person as being one or more registered members of the healthcare system and to obtain a member identifier; using the member identifier to obtain electronic medical record information about the person; and providing some or all of the obtained electronic medical record information to the computing device.

Abstract: A content management system and method work as a companion to other applications that control the system. The system and method draw information from the operations or structure of the controlling application to display and manage the content objects relevant to a record displayed by a user of the controlling application and stored in the content management system. The system and method operate in conjunction with the controlling application so that this management and display of content objects is dynamic, real-time, and context-sensitive for the user.

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: To train models, training data is needed. As personal data changes over time, the training data can get stale, obviating its usefulness in training the model. Embodiments deal with this by developing a database with a running log specifying how each person's data changes at the time. When data is ingested, it may not be normalized. To deal with this, embodiments clean the data to ensure the ingested data fields are normalized. Finally, the various tasks needed to train the model and solve for accuracy of personal data can quickly become cumbersome to a computing device. They can conflict with one another and compete inefficiently for computing resources, such as processor power and memory capacity. To deal with these issues, a scheduler is employed to queue the various tasks involved.

Abstract: A content management system and method work as a companion to other applications that control the system. The system and method draw information from the operations or structure of the controlling application to display and manage the content objects relevant to a record displayed by a user of the controlling application and stored in the content management system. The system and method operate in conjunction with the controlling application so that this management and display of content objects is dynamic, real-time, and context-sensitive for the user.

Abstract: A system to remotely flash an external module, the system comprising an external module installable in a secured location having at least one securing device with a transponder, at least one server, wherein the at least one server and a communication hub that communicates said at least one server, said communication hub further comprising a communication device that extracts key data from the securing device's transponder. Additional embodiments of the system include an external module and a learning module that extract partial key data. A method to flash the external module by extracting at least one set of partial key data from the securing device's transponder and/or securing device using an external module, communication device, and/or learning module, wherein the server analyzes and processes the set(s) of partial key data to generate a securing device bypass for the external module that installed to the secured location.

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: An intercept engine is installed on a computer and includes an intercept filter adapted to intercept selected commands transmitted between a file system and a storage device. The intercept engine also includes an intercept manager adapted to transmit to the intercept filter one or more primitives, wherein each primitive includes device information specifying a device, wherein a command directed to the specified device is to be intercepted, command type information specifying a type of command to be intercepted, and follow-up action information specifying an action to be performed after the command has been intercepted. A primitive may also include default action information specifying an action to be performed with respect to the command if a communication between the intercept filter and the intercept manager is interrupted. The intercept engine intercepts commands transmitted between the file system and the storage device in accordance with the one or more primitives.

Abstract: A biological detection device includes a signal acquirer that acquires a signal including a heartbeat, an analyzer that performs a frequency analysis of the signal to generate a spectrogram, an integrated value calculator that integrates energy of a heartbeat frequency component, which is a frequency component corresponding to the heartbeat, among frequency components of the signal shown by the spectrogram and calculates an integrated value, a peak specifier that specifies peaks, which are maximum values, in the integrated value, a peak set generator that combines, among the peaks, a first peak and a second peak, which occurs in a later time than the first peak, and generates a peak set, and a selector that selects, from the peak set, a sequence having highest likelihood in a maximum likelihood estimation method.

Abstract: A biological detection device includes a signal acquirer that acquires a signal including a respiration component, a filter that attenuates a frequency component other than the respiration component included in the signal and generates a post-processing signal, an analyzer that analyzes the post-processing signal to generate a spectrogram, a variation calculator that calculates variation of energy in a predetermined frequency band in energy of the frequency component indicated by the spectrogram, a first determiner that determines whether the variation is larger than a threshold, a second determiner that, if it is determined by the first determiner that the variation is not larger than the threshold, determines whether a higher harmonic wave with respect to a second peak having energy equal to or more than a predetermined ratio to a first peak where the energy is maximum is present in the predetermined frequency band, and an output unit that outputs a respiration rate based on a frequency of the first peak if