Intuit, Inc.

Secured Injury Devices, Inc.

Alex G Balazs

Gang Wang

Kevin M McCluskey

Luis Felipe Cabrera

Jay J Yu

David Alan Hanekamp, Jr

Matthew L Sivertson

Per-Kristian G Halvorsen

Vinay Kumar

Douglas L Foiles

Bojan Beran

Thomas M Pigoski, Ii

Robert E Lee

Matthew A Lisowski

Xiaoyan C Liu-Barker

Amir R Eftekhari

Michael J Graves

Ronald Jason Char

Arien C Ferrell

Ganesh Bhat

Sasha Mikhael Perez

Steven J Atkinson

Henry Tayloe Stansbury

George Gelly

Paul Hsu

Larry D Vernec

Xiaoyan Cindy Liu Barker

Zane Z Y Pan

Varun Krishna

Alberto Garcia

Jerry Mario Mabini

Julian Banfield

Jay Jiebing Yu

Systems and methods are disclosed that relate to a stabilization and cooling apparatus having a stabilizing structure with at least one inflatable chamber, the stabilizing structure configured to become semi-rigid upon inflation of the at least one inflatable chamber. A cooling structure is integrated with the stabilizing structure and includes a single-use cooling element and a thermally conductive material in thermal communication with the single-use cooling element. The apparatus also has an actuator configured to cause inflation of at least one inflatable chamber.

Mechanism for automated injury stabilization and treatment

Methods, systems and articles of manufacture for efficiently calculating an electronic tax return, such as within a tax return preparation system. A computerized tax return preparation system accesses taxpayer-specific tax data from a shared data store. The system executes a tax calculation engine configured to perform a plurality of tax calculations based on a tax calculation graph and the taxpayer-specific tax data from the shared data store. The system is configured to perform only the calculations in the tax calculation graph which are changed by new taxpayer-specific tax data received since the preceding tax calculation executed by the tax calculation engine. The system may also determine whether the new taxpayer-specific tax data does, or does not change the calculated tax return and the reason why.

Methods systems and articles of manufacture for efficiently calculating a tax return in a tax return preparation application

A computer-implemented method for inferring or estimating user-related data for use with tax preparation software is disclosed. The method uses a computer that connects to the one or more remotely located data sources and executing a data capture utility, the data capture utility capturing at least some tax data pertaining to the user. The computing device executes an estimation module that receives the captured tax data pertaining to the user and generates one or more estimates and stores the one or more estimates in a data store associated with the tax preparation software, the data store configured to store user-specific tax data therein. The computing device executes a tax calculation engine of the tax preparation software configured to read the user-specific tax data contained in the data store and compute an intermediate or final tax liability or refund amount.

System and method for automated data estimation for tax preparation

A computer-implemented method for collecting tax data for an electronic tax return preparation program includes a tax logic agent reading a user data profile indexed to a user ID for a user to identify an identifier of a missing datum. The method also includes a match system identifying a data source corresponding to the identifier of the missing datum. The method further includes the match system generating a partition for the user data profile. Moreover, the method includes a dispatch system generating a target queue for the data source using the partition. The target queue includes the identifier of the missing datum. In addition, the method includes a data collector querying the data source based on the target queue to collect data corresponding to the identifier of the missing datum. The method also includes an importer generating a modified user data profile using the collected data.

Methods, systems and computer program products for collecting tax data

A modular, computerized tax return preparation application engine including modular tax logic engine and interface controller components loosely coupled to each other and a modular completion monitor. Modular tax logic engine receives runtime data of the tax return and generates a first non-binding suggestion involving a tax topic that is incomplete based on first runtime data and a decision table. Modular interface controller generates a first interface including a first interview screen including content based on the first non-binding suggestion. For iterations or changes of runtime data, completion monitor determines when a previously complete tax topic is now incomplete and notifies modular interface controller regarding the completion status modification. In response modular interface controller generates a second interface comprising an encoded link to an interview screen or screens to address previously complete but currently incomplete tax topics.

Computerized tax return preparation system and computer generated user interfaces for tax topic completion status modifications

Computer-implemented methods, system and computer program products for determining what to present to a user of a tax preparation application. A tax compliance or rule module receives runtime data of the electronic tax return and tax rules specifying tax authority requirements. The rule module executes at least one tax rule utilizing the runtime data to generate a non-binding suggestion, which is provided as an input to loosely coupled interface controller. The interface controller determines content of an interview screen for display to the user based at least in part upon factors including the non-binding suggestion, and presents the interview screen including the determined content to the user via a user interface. The content may or may not include content based on the non-binding suggestion depending on processing by the interface controller.

Computer implemented methods systems and articles of manufacture for suggestion-based interview engine for tax return preparation application

Computer-implemented methods, systems and articles of manufacture for rendering paginated interview screens that include arrangements of tax questions or topics representative of question or topic relevancy and that are selected and arranged based at least in part upon determined question or topic categorization and/or ranking. Different pagination structures may be utilized to visually indicate tax question or topic relevancy and to encourage or enable users of a tax return preparation application to answer more pertinent questions or topics before others, while also allowing the user to navigate or scroll questions or topics of paginated screens and to select questions or topics to answer or address at the user's discretion, without being restricted by a pre-determined sequence of interview questions or hard-coded question-and-answer frameworks. Interview screen paginations and content thereof are dynamically updated as runtime data of the electronic tax return is received or updated.

Dynamic pagination of tax return questions during preparation of electronic tax return

Computer-implemented systems, methods and articles for preparing and/or submitting a plurality of different types of compliance forms for submission to a regulatory agency. The system includes a computing device, a data store, and a compliance form software program executable by the computing device. The compliance program includes a universal calculation engine, logic agent and user interface manager which are configured to process a respective domain model configured for each type of compliance form. Each domain model includes a calculation graph, a completeness model comprising decision table(s) and/or completeness graph(s), user interface assets and filing rules configured specifically for a particular type of compliance form. The rules and regulations for each type of compliance form are embodied in the declaratory data structures of the respective calculation graph and completeness graph for each domain model. The calculation engine and logic agent are configured to process the calculation graph and completeness graph, respectively.

Computer-implemented systems and methods for preparing compliance forms to meet regulatory requirements

A method for providing application content including obtaining, by a declarative content engine executing on a computer processor, an initial application content from a content repository and expressing the initial application content in a declarative programming language to obtain declarative content and transmitting the declarative content to a user experience player (UXP). The UXP processes the declarative content to obtain the initial application content, binds the initial application content to first platform-specific templates and first platform-specific navigation patterns, and renders the initial application content in a first platform-specific user display format. Additionally, the method includes receiving a user action from the UXP in response to the transmission of the declarative content, storing the user action associated with the declarative content in a user data instance repository, determining, using an interaction module and the received user action, a next application content, and obtaining the next application content from the content repository.

Common declarative representation of application content and user interaction content processed by a user experience player

A technique for controlling release of data associated with an account is described. During this data-privacy management technique, a computer system provides at least a subset of data associated with an account to a third party based on a first consent (which may be received from a user of the account). This subset may have a first classification based on a taxonomy. Subsequently, the third party may notify the computer system that additional data has been derived from the data. In response, the computer system may determine a second classification of the additional data based on a taxonomy. If this second classification is other than a subset of the first classification, the computer system may request a second consent (for example, from the user).

Data-privacy management technique

A technique for controlling release of data associated with an account is described. During this data-privacy management technique, a computer system provides at least a subset of data associated with an account to a third party based on a first consent (which may be received from a user of the account). This subset may have a first classification based on a predefined taxonomy. Subsequently, the third party may notify the computer system that additional data has been derived from the data. In response, the computer system may determine a second classification of the additional data based on a predefined taxonomy. If this second classification is other than a subset of the first classification, the computer system may request a second consent (for example, from the user).

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San Diego, CA, United States of America

Alex G Balazs