Abstract: A method of forming a multi-user online collaboration includes automatically receiving and processing a plurality of communications, including comparing the plurality of communications with collaboration launch criteria. When a received communication meets the collaboration launch criteria, a participant in the communication is invited to generate a multi-user online collaboration. In some embodiments, the method includes identifying a group of communications, comparing the group of communications with the collaboration launch criteria to produce a comparison result, and generating a collaborative metric in accordance with the comparison result.

Abstract: A method for processing risk factors for a user is disclosed. The method may include receiving protocol data for creating a risk factor engine by an application stored and executed at a computing device. The risk factor engine may be stored in memory and executable by a processor to process a first set of stored user health data for a user. The protocol data may include a rule and one or more health attribute values. The rule and the one or more health attribute values may each include a computer programming expression editable by an administrator. The method may further include determining a user health score through execution of the risk factor engine by the processor and based on the user health data.

Abstract: A method for processing risk factors for a user is disclosed. The method may include receiving protocol data for creating a risk factor engine by an application stored and executed at a computing device. The risk factor engine may be stored in memory and executable by a processor to process a first set of stored user health data for a user. The protocol data may include a rule and one or more health attribute values. The rule and the one or more health attribute values may each include a computer programming expression editable by an administrator. The method may further include determining a user health score through execution of the risk factor engine by the processor and based on the user health data.

Abstract: Providing a framework for developing, deploying and managing sophisticated mobile solutions, with a simple Web-like programming model that integrates with existing enterprise components. Mobile applications may consist of a data model definition, user interface templates, a client side controller, which includes scripts that define actions, and, on the server side, a collection of conduits, which describe how to mediate between the data model and the enterprise. In one embodiment, the occasionally-connected application server assumes that data used by mobile applications is persistently stored and managed by external systems. The occasionally-connected data model can be a METAdata description of the mobile application's anticipated usage of this data, and be optimized to enable the efficient traversal and synchronization of this data between occasionally connected devices and external systems.

Abstract: A method for processing risk factors for a user is disclosed. The method may include receiving protocol data for creating a risk factor engine by an application stored and executed at a computing device. The risk factor engine may be stored in memory and executable by a processor to process a first set of stored user health data for a user. The protocol data may include a rule and one or more health attribute values. The rule and the one or more health attribute values may each include a computer programming expression editable by an administrator. The method may further include determining a user health score through execution of the risk factor engine by the processor and based on the user health data.

Abstract: Liquid computing can include using a service bus to interact with a number of heterogeneous systems.

Abstract: Risk factor data can be processed by a risk factor coaching engine to determine health risk for a user. The risk factor coaching engine may be executed within a health coaching protocol to perform actions that provide a user with information, recommendations and alerts via other coaching engines, and appointments with health care professionals. The risk factor coaching engine may also predict attribute values for a user based on a time period and goals for user health data upon which the predicted attribute value is based.

Abstract: A data processing program is specified using a specification having a number of cell specifications specifying a number of data processing cells, with each data processing cell having a formula specifying an action or a computation. A cell may have one or more attributes referencing other cells. A cell formula may reference a value of another cell or be executed conditionally. In one embodiment, one of the cell is reserved as an output cell specifying the output, and a mnemonic is reserved for providing input to the specified data processing. An execution analyzer is provided to analyze the data processing specification, and identify the execution order of the cells. Further, an execution engine is provided to effectuate the specified data processing by executing the specified actions/computations of the cells in accordance with the determined execution order.

Abstract: A data processing representation is expressed in the form of code sections, which may be nested, using multiple programming languages. The representation is read by an execution engine. The execution engine identifies the language of each code section, and a corresponding language specific processing unit is invoked to process the code section. The processing unit reads that section, identifying sub-sections specified in it's associated language and other sub-sections specified in unknown languages. It executes the sub-sections specified in its associated language with the intended semantics and in the appropriate order. When a sub-section specified in an unknown language is encountered, it delegates processing of that sub-section back to the execution engine, which repeats this process for the unknown sub-section. The execution result is returned back to the requesting language specific processing unit, which continues processing from where it left off.

Abstract: Lab tests may be processed for a user through execution of a lab test coaching engine stored in memory and executable by a processor. The lab test coaching engine accesses user lab test results and processes the user lab test results based on a coaching protocol and user health data. The results of the lab test results are reported to the user and a health care professional and the lab test coaching engine may perform an action based processed lab test results.

Abstract: Risk factor data can be processed by a risk factor coaching engine to determine health risk for a user. The risk factor coaching engine may be executed within a health coaching protocol to perform actions that provide a user with information, recommendations and alerts via other coaching engines, and appointments with health care professionals. The risk factor coaching engine may also predict attribute values for a user based on a time period and goals for user health data upon which the predicted attribute value is based.

Abstract: An automated coaching service executes one or more coaches for a health service user. The coaches evaluate expressions created in part from a current user status and evaluate whether any actions should be taken for the user. Once an action has been performed, the status of the user is updated and taken into account the next time user coaches are executed. Actions performed by health coach service coaches can be directed to a user or a health care professional. The health coach service can provide a dynamic coaching mechanism to the user that provides custom coaching based on the most current user health data and recent actions performed for the user.

Abstract: An author can create a protocol for providing user health coaching. The protocol is based on attributes and configures a health coaching service to be provided for a user. The author can use the attributes to report user health status, set user health goals, and evaluate expressions related to the user's health. The user health status can be reported based on author-created ranges that contain a user health attribute value. User health goals with respect to an attribute can be set over time for a user (or group of users) by the author. Expressions related to the user's health can be created by the author from sets of attributes and operators and executed as rules.

Abstract: Providing a framework for developing, deploying and managing sophisticated mobile solutions, with a simple Web-like programming model that integrates with existing enterprise components. Mobile applications may consist of a data model definition, user interface templates, a client side controller, which includes scripts that define actions, and, on the server side, a collection of conduits, which describe how to mediate between the data model and the enterprise. In one embodiment, the occasionally-connected application server assumes that data used by mobile applications is persistently stored and managed by external systems. The occasionally-connected data model can be a metadata description of the mobile application's anticipated usage of this data, and be optimized to enable the efficient traversal and synchronization of this data between occasionally connected devices and external systems.

Abstract: Providing a framework for developing, deploying and managing sophisticated mobile solutions, with a simple Web-like programming model that integrates with existing enterprise components. Mobile applications may consist of a data model definition, user interface templates, a client side controller, which includes scripts that define actions, and, on the server side, a collection of conduits, which describe how to mediate between the data model and the enterprise. In one embodiment, the occasionally-connected application server assumes that data used by mobile applications is persistently stored and managed by external systems. The occasionally-connected data model can be a METAdata description of the mobile application's anticipated usage of this data, and be optimized to enable the efficient traversal and synchronization of this data between occasionally connected devices and external systems.

Abstract: Providing a framework for developing, deploying and managing sophisticated mobile solutions, with a simple Web-like programming model that integrates with existing enterprise components. Mobile applications may consist of a data model definition, user interface templates, a client side controller, which includes scripts that define actions, and, on the server side, a collection of conduits, which describe how to mediate between the data model and the enterprise. In one embodiment, the occasionally-connected application server assumes that data used by mobile applications is persistently stored and managed by external systems. The occasionally-connected data model can be a METAdata description of the mobile application's anticipated usage of this data, and be optimized to enable the efficient traversal and synchronization of this data between occasionally connected devices and external systems.

Abstract: An annotation based development platform for stateful web services is described. In one embodiment, the developer expresses logic offered by the web service using a standard programming language augmented with declarative annotations specifying preferences for exposing that logic as a stateful web service. At compile time, an enhanced compiler analyzes the annotated source file and automatically generates the mechanisms required to expose its functionality as a stateful web service.

Abstract: An annotation based development platform for asynchronous web services is described. In one embodiment, the developer expresses logic offered by the web service using a standard programming language augmented with declarative annotations specifying preferences for exposing that logic as an asynchronous web service. At compile time, an enhanced compiler analyzes the annotated source file and automatically generates the mechanisms required to expose its functionality as an asynchronous web service.

Abstract: A data representation is read and parsed. A declaration referencing an executable namespace is recognized. An expression is recognized. A name (declared within the executable namespace) within the expression having zero or more additional data representations is also recognized. In response, functions corresponding to the name and additional data representations are recursively resolved, and caused to be invoked and executed, with the execution results of the inner functions successively provided for use in the execution of the outer functions. For each function, the function or a creator to create the function is instantiated. The instantiating is effectuated by following a path enumerated in the declaration for locating functions of the namespace. If a creator of the function is located and instantiated, the function is created using the function creator, and then the created function is instantiated. Upon instantiation, the referenced function is invoked and executed.

Abstract: Providing a framework for developing, deploying and managing sophisticated mobile solutions, with a simple Web-like programming model that integrates with existing enterprise components. Mobile applications may consist of a data model definition, user interface templates, a client side controller, which includes scripts that define actions, and, on the server side, a collection of conduits, which describe how to mediate between the data model and the enterprise. In one embodiment, the occasionally-connected application server assumes that data used by mobile applications is persistently stored and managed by external systems. The occasionally-connected data model can be a metadata description of the mobile application's anticipated usage of this data, and be optimized to enable the efficient traversal and synchronization of this data between occasionally connected devices and external systems.