58 results about "Automated data processing" patented technology

A system and method for energy management in which data relating to energy usage and energy-related policies and practices is collected in an automated data processing device. The data is analyzed to arrive at a diagnosis of energy management effectiveness from which recommendations for improving the energy management effectiveness are generated.

A number of items of data from a data source (12) can be processed, and then supplied to at least one data destination (16-17). The data can include image data, text data, numeric data or other types of data, or a combination of these types of data. The processing of the data is controlled by a project definition (14, 71, 101), which includes a plurality of modules selected from a variety of available modules (Tables 1-4). The modules have input and output ports which are interrelated by binding information. A subset of the available modules are branch modules, which can change a flow of execution through the modules that make up the project definition. One type of module effects branching by changing the flow of execution based on the state of data being processed by the project definition, whereas another type of branch module changes the flow of execution based on real-time interaction with a person.

Systems and methods for creating and maintaining a market intelligence portal. Using automated data processing techniques, a market intelligence campaign is defined and executed to determine the most productive approach for marketing new products in a particular market segment. A key component of the systems and methods is identifying key opinion leaders who are deemed by their peers to be influential in a particular therapy space through surveying techniques. In addition to opinion leader information obtained through surveying, external data sources are used to create a detailed profile for each opinion leader identified through surveying. Social network mapping and other analysis is performed on the profiles. The survey results, profiles and social network diagrams are stored electronically on a network portal. An interactive dashboard interface to the portal is created so that the data can be accessed and visualized remotely, preferably using a web browser interface. One or more data streams are used to self-update the data as new data relevant to the campaign and / or the opinion leader profiles is available. The various systems and methods may have particular utility to pharmaceutical companies trying to gain market acceptance of new drug therapies.

Embodiments of the present invention address deficiencies of the art in respect to host platform configuration for software testing and provide a novel and non-obvious method, system and computer program product for multi-platform test automation. In an embodiment of the invention, a multi-platform test automation data processing system can include a test automation controller enabled for coupling to multiple, different designated host computing platforms. Each of the different designated host computing platforms can host the execution of an application under test. The test automation controller can include a configuration for dispatching test commands to the different designated host computing platforms based upon provided test case documents, topology data and a general function file. In this way, tests can be constructed from a set of test commands without regard to the underlying details of different, target host computing platforms.

An automated data processing systems and associated method for detecting and reporting the erroneous processing and adjudication of heath care claims and resulting payments made to a heath care provider by one or more third parties, such as medical insurance companies. A rules engine applies business logic to compare an electronic representation of a claim, an electronic representation of a payment and an associated explanation of benefits, with an electronic representation of contractual terms to determine any discrepancies between the electronic representation of the claim and the electronic representation of the payment and the explanation of benefits in relation to the electronic representation of the contractual terms. Any discrepancies uncovered by this comparison are reported to the user.

A number of items of data from a data source (12) are to be processed, and then supplied to a data destination (16–17). Each item of data may be image data, text data, numeric data or some other type of data, or a combination of these types of data. The processing of each data item is controlled by a project definition (14, 71, 101), which includes a plurality of modules selected from a variety of available modules (Tables 1–4). The modules have input and output ports which are interrelated by binding information. Each project definition can be developed on one machine (211, 226), and then transmitted through a network (208, 206) to a different location on the network, where the project definition will be stored and / or executed by at least one different machine (212, 221–223).

An automated data processing system includes a relational database engine, storage devices having a database table, registry and binary large objects created and updated by the relational database engine and a user defined function engine retrieving data elements stored in the binary large objects. The registry includes data element classifications. The database table includes relational information of the data elements, the data element classifications and pointers to the binary large objects, and the relational database engine creates and updates the binary large objects based on the database table and the registry.

A number of items of data from a data source (12) can be processed and then supplied to a data destination (16, 17). The data may include image data, text data, numeric data or other types of data, or a combination of these types of data. The processing of the data is controlled by a project definition (14, 71, 101), which includes a plurality of modules selected from a variety of available modules (Tables 1-4). The modules have input and output ports which are interrelated by binding information. The data source may be located in a remote system, and the data may be obtained from that data source in an automated manner through a computer network. Similarly, the data destination may be a remote system, and the processed data may be deposited in the data destination in an automated manner through a computer network.

A method of classifying a digital document may include: identifying, by an automated data processor, a request for access to the digital document for a first user; determining user identifying information for the first user; obtaining, by the automated data processor, according to the user identifying information a first user characteristic including organizational affiliation of the first user or a job function of the first user; generating, by the automated data processor, based on the first user characteristic, a digital document classification for the digital document; associating the digital document classification with the digital document, by embedding the document classification in the digital document or logging the document classification in a log identifying the digital document. A user access determination for the digital document may be made according to the associated digital document classification.

Embodiments of the present invention are directed to methods and systems for processing and / or validating data using a graphical user interface of a computer system. Embodiments may include arranging a plurality of nodes in a graph, where each node represents at least one processing step for processing data by a processor and wherein at least one of the plurality of nodes comprise at least one data retrieval node for retrieving data for validation. The method may also include establishing at least one output from substantially all of the plurality of nodes, except for the at least one data retrieval node, establishing at least one input to each of the plurality of nodes, configuring one or more parameters of each node, and linking at least one output of each of substantially all of the plurality of nodes to an input of another node, where each link representing a data flow. The method may further include sequencing a dependency among the plurality of nodes and establishing processing logic in at least one node to process data in a predetermined manner.

A compact data processing system suitable for long-term use that enables the maintenance of failure resistance without having to mount many spare disks or replace disks; a data processing method; and a storage apparatus for this data processing system are provided. In the data processing system, which has a host system and a storage apparatus that provides first memory areas for storing data read / written by the host system, the storage apparatus has a reservation unit that dynamically reserves one of the first memory areas as a spare second memory area when a failure occurs in any one of the first memory areas and there is no spare second memory area to migrate the data stored in that faulty memory area to.

A number of items of data from a data source (12) can be processed and supplied to a data destination (16, 17). The data can include image data, text data, numeric data or other types of data, or a combination of types of data. The processing of the data is controlled by a project definition (14, 71, 101) which includes a plurality of modules selected from a variety of available modules (Tables 1–4). The modules include input and output ports which are interrelated by binding information. One of the existing modules provides the capability for execution of a specified command in an independent and separate application program. Further, custom modules can be readily prepared, in order to supplement the default set of available modules.

An automated data processing method for obtaining clinical data for safety, efficacy, and adverse event assessments pertaining to a therapy prescribed for the treatment of a malady, comprising the step of receiving at a location remote from a plurality of patients outcome digital information pertaining to the outcome of therapies performed on said patients, and for the efficient delivery of medications to a patient ordered pursuant to an electronic prescription from a dispensary optimized for delivery of the medication.

Approaches for data integration between multiple IT sources using automated data processing based on target metadata are provided. Specifically, an integration component is configured to load a mapped data set into a table with delta processing based on a configuration object containing, e.g., the source data location, target table name, and source to target mapping. The integration component uses the target metadata to validate data, identify changes, generate the necessary database programming language (e.g., structured query language (SQL)), and run the database programming language with data binding to perform the actual data updates. The integration component leverages the data target metadata to automate the processing of source data, thus providing a way to validate the data, and identify delta changes at the field level between the source and target. This significantly reduces the overall development effort, while providing consistency in record handling and error reporting.

A data capture system receives a sequence of output document objects and, for each output document object, writes output data values to an output data structure. The system includes a data storage, a first tier data extraction system and at least a second tier data extraction system. The first tier data extraction system is adapted to receive each output document object. Each output document object may be in a print language format comprising a plurality of print elements. For each required invoice data element, the first tier data extraction system obtains identification of a positional element value from a positional data set that includes, as its invoice data element, identification of the required invoice data element; and, if the output document object includes a qualifying text string, writes an output data value to the output data structure in association with identification of the required invoice data element. If the output document object does not include a qualifying text string, the first tier data extraction system identifies the output document object for tier two processing. The second tier data extraction system receives each output document identified for tier two processing, performs character recognition on a graphical representation thereof and, for each required invoice data element, writes an output data value to the output data structure in association with identification of the required invoice data element.

A number of items of data from a data source (12) can be processed and then deposited in at least one data destination (16, 17). The data may be image data, text data, numeric data or some other type of data, or a combination of these types of data. The processing of data is controlled by a project definition (14, 71, 101), which includes a plurality of modules selected from a variety of available modules (Tables 1-4). The modules have input and output ports which are interrelated by binding information. One of the modules, when executed, transmits a predetermined message, for example in the form of an electronic mail message.

A system for automating data processing is presented. The system comprises an end-user programming module that is integrated with an underlying file system and that maps an event of a computing system to at least one automatic action that is defined by an end user. The system also includes an event handler that responds to events and causes the at least one automatic action to be performed. Methods of using the system are also provided.

The invention provides a method for establishing a disaster risk assessment model. The method includes steps of S1, inputting model parameters and selecting required information processing tools for establishing the model; S2, converting the established disaster risk assessment model into an automatic data processing process composed of the information processing tools and spatial data by means of a Geoprocessing frame. Man-machine interaction of the system and control capability of servicers during model implementing can be reinforced. The disaster monitoring and early warning system can integrates risk assessment of flood disasters step by step, and the servicers can monitor each process of model operating.

Document processing may be effectively automated using OCR software in conjunction with varying processing elements. Incoming documents are received through one or more central locations. The documents are then retrieved from this central location and examined using OCR software, extracting the contents of the document. If the accuracy of the document is verified and all elements are found to be legible, the data and original document may be provided to a database access device. The database access device is in operative communication with a database containing reference information associated with the users operations. Along with the information, the original document, in electronic format, is also archived and associated with the proper file. This information, being stored in the database, is accessible by a data management system, such as a data processing application for using the data originally disposed in electronic format on the incoming document.

The invention relates to the technical field of automatic data processing, in particular to a REST API interface software automatic test method, which comprises the steps of S1, establishing a REST API interface software automatic test general tool class library; S2, establishing an REST API interface software automatic test case in an Excel format; S3, constructing an REST API interface softwareautomatic test request; and S4, constructing an automatic arrangement task by utilizing an integration tool. The technical problems that in the prior art, when personnel writing test cases through Postman manual test software and testers use the test cases, habits are inconsistent, readability is poor, non-automatic test efficiency is low, and when scripts are written for software testing, the testers need to have high changing ability are solved.

The invention discloses a rapid recognition method and device for ventricular parasystole, which relate to the technical field of data processing. The method includes the following steps: S1. drawinga ventricular ectopic interval scatter gram comprising ventricular ectopic interval time scatter information and premature beat interval time scatter information; S2. according to the scatter information, initially selecting a pararrhythmia suspected region; and S3. determining a measure index of pararrhythmia, and further screening out a pararrhythmia segment in the pararrhythmia suspected regionby setting a threshold of the measure index. A technical scheme of the method and the device can perform automatic data processing and scatter gram display on dynamic electrocardiogram data of a patient, and combines a human-computer interaction interface to assist a doctor to quickly recognize the ventricular parasystole.

A data processing system performs a procedure including respective tasks, each respective task including one of producing and processing a respective data object. The system comprises memory; and a processor having program instructions for maintaining a respective data structure for each respective one of the tasks. The data structure includes instructions and parameters for performing the respective task. The processor also has program instructions for determining whether to save the respective data object in memory or to purge the respective data object based on usage and capacity of the memory; and, where the respective data object has been purged and is now needed again, reconstructing the purged data object using the respective data structure.

The invention provides a data structure prediction transmission and automatic data processing method based on flow chart. The method comprises the steps of obtaining a modeling experience data table of a target business scene; after data source nodes are set, selecting and connecting operator nodes, setting parameters of the operator nodes, and generating a flow chart; predicting a data table structure operated and output by the current operator node according to the parameters of the operator node, transmitting the data table structure to all downstream operator nodes of the current operatornode, and configuring the parameters by the downstream operator nodes according to the transmitted predicted data table structure when the current node does not run or does not run; and executing operator calculation, the downstream operator node acquiring data flowing out of the upstream operator node, and after each operator node operates, generating and transmitting output data to the downstream operator node. According to the method, data transmission and data structure prediction transmission are conveniently and flexibly realized, and a simple and rapid building method is provided for data processing and model design by business personnel and technicians.

A print processor interfaces with a print job source such as an accounting system and a remote automated data processing system. The print processor comprises a print job source interface for receiving a sequence of documents from a print job source. The sequence of documents may comprise a first set of documents and a second set of documents. The first set of documents and the second set of documents may be mutually exclusive subsets of the sequence of documents. Each document of the first set may comprise data content to be directed to the remote automated data processing system. Each document of the second set may be directed to a printer. The print processor may establish a network session to the remote automated data processing system, authenticating to the remote automated data processing system, and transfer each document of the first set to the remote automated data processing system. The print processor may direct transfer of the second set to the printer.