Abstract: Embodiments are directed to managing the provisioning of healthcare services. A visit profile that includes a reason for the visit and patient demographic information may be provided by a patient requesting a visit to obtain healthcare services. Match scores for providers may be generated based on matching models and the visit profile. A provider may be assigned to the visit based on the match scores. A virtual waiting room may be provided for the patient based on the visit profile. The visit profile may be updated with supplemental information based on the interactions between the patient and the virtual waiting room, patient information, or visit information. Updated match scores may be provided for the providers based on the updated visit profile. If an updated match score exceeds a previously determined higher match score, another provider associated with a higher match score may be assigned to the visit.

Abstract: Embodiments are directed to managing the provisioning of healthcare services. A visit profile that includes a reason for the visit and patient demographic information may be provided by a patient requesting a visit to obtain healthcare services. Match scores for providers may be generated based on matching models and the visit profile. A provider may be assigned to the visit based on the match scores. A virtual waiting room may be provided for the patient based on the visit profile. The visit profile may be updated with supplemental information based on the interactions between the patient and the virtual waiting room, patient information, or visit information. Updated match scores may be provided for the providers based on the updated visit profile. If an updated match score exceeds a previously determined higher match score, another provider associated with a higher match score may be assigned to the visit.

Abstract: Concepts and technologies are described herein for creating variations when transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships among data elements or other portions of the data, and to identify any possible approaches to transforming the data (“worlds”) based upon the relationships and the data. The worlds can be ranked and selected based upon rank. The computing device can obtain rules associated with the selected and apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback regarding the world selection.

Abstract: Concepts and technologies are described herein for creating variations when transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships among data elements or other portions of the data, and to identify any possible approaches to transforming the data (“worlds”) based upon the relationships and the data. The worlds can be ranked and selected based upon rank. The computing device can obtain rules associated with the selected and apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback regarding the world selection.

Abstract: Concepts and technologies are described herein for an abstract relational model for transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to generate an abstract relational model from data to analyze the data and to identify relationships within data elements or other portions of the data. The computing device also can determine a visualization model to apply to the data and to choose a world based upon the determined visualization model. The computing device can obtain rules associated with the selected or chosen world, and can apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback to the output.

Abstract: Concepts and technologies are described herein for creating variations when transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships among data elements or other portions of the data, and to identify any possible approaches to transforming the data (“worlds”) based upon the relationships and the data. The worlds can be ranked and selected based upon rank. The computing device can obtain rules associated with the selected and apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback regarding the world selection.

Abstract: A user interface (UI) property mapping system allows for efficient collaboration between a user experience (UX) team and a technical development team developing the UI. The UI mapping system assigns each component of the UI an identification key and exposes the identification key externally through an XML Schema, wherein such an XML Schema may be used by a UX team to generate an XML file specifying values of various properties of the UI. Subsequently, a UI object model reads the XML file to retrieve the values of various properties of the UI as specified by the UX team. The UI property mapping system may encode the XML file into a resource file that may be shipped with the final software using the UI. Alternatively, the XML file may be exposed for external modifications by end users to make changes to the UI as they desire.

Abstract: The claimed method and system provides programmers of client-server applications the ability to implement extensions to a standard style sheet language by using a preprocessor at a client to first parse, extract, and transform noncompliant, proprietary code. A new standards compliant style sheet may be created based on the transformed noncompliant code. This style sheet may then be executed on a client browser. The claimed system may be used to conform a client application schema with a client operating system schema.

Abstract: The claimed method and system provides programmers of client-server applications the ability to implement extensions to a standard style sheet language by using a preprocessor at a client to first parse, extract, and transform noncompliant, proprietary code. A new standards compliant style sheet may be created based on the transformed noncompliant code. This style sheet may then be executed on a client browser. The claimed system may be used to conform a client application schema with a client operating system schema.