Abstract: Some implementations provide a user interface for generating an electronic document. An external component may be launched within the user interface for accessing external data, and context data of the current document may be provided to the external component. The external data that corresponds to the context data for the document may be displayed within the user interface, such as for enabling a user to interact with the data and/or include a portion of the data in the document.

Abstract: The described concepts relate to automated patient disposition. One example can receive a clinician's disposition for a patient. This implementation can perform parameter-based cluster analysis on the patient and a set of patients to identify a sub-set of the patients with which the patient has a high similarity. This example can also cause a graphical user interface to be generated that conveys parameters from the sub-set of the patients and the patient.

Abstract: A de-identification system is described herein for converting original messages into de-identified messages. The de-identification system leverages original message-inception-functionality which operates as a gateway for providing original messages for use by a production environment. Namely, the de-identification system includes a transformation module that receives the original messages from the original message-inception functionality. The transformation module then converts instances of sensitive information contained in the original messages into non-sensitive information, to produce the de-identified messages. A de-identified environment can consume the de-identified messages with high confidence that the messages have been properly sanitized. This is because the de-identification work has been performed at a well-contained quarantine level of the message processing functionality.

Abstract: An information management system (IMS) is described herein that provides supplemental information to a user who is interacting with an application module. In one implementation, the IMS includes a collection system, an information extraction module, and a notification system. The collection system provides collected information from one or more information sources. The information extraction module extracts application information from the application module, even though the application module may lack a native interface for providing the application information. The analysis engine determines supplemental information to present to the user based on the collected information and the application information. And the notification information provides notification information which alerts the user to the existence of the supplemental information. In one scenario, the IMS can be applied in a healthcare-related domain.

Abstract: The described implementations relate to patient identification. One implementation can acquire binary biometric data and structured data from a patient. This implementation can compare the acquired patient binary biometric data and structured data to binary biometric data and structured data associated with patient files in an electronic master patient index.

Abstract: The described implementations relate to patient identification. One implementation can acquire binary biometric data and structured data from a patient. This implementation can compare the acquired patient binary biometric data and structured data to binary biometric data and structured data associated with patient files in an electronic master patient index.

Abstract: The described concepts relate to automated patient disposition. One example can receive a clinician's disposition for a patient. This implementation can perform parameter-based cluster analysis on the patient and a set of patients to identify a sub-set of the patients with which the patient has a high similarity. This example can also cause a graphical user interface to be generated that conveys parameters from the sub-set of the patients and the patient.

Abstract: The present discussion relates to automated image data processing and visualization. One example can facilitate generating a graphical user-interface (GUI) from image data that includes multiple semantically-labeled user-selectable anatomical structures. This example can receive a user selection of an individual semantically-labeled user-selectable anatomical structure. The example can locate a sub-set of the image data associated with the individual semantically-labeled user-selectable anatomical structure and can cause presentation of the sub-set of the image data on a subsequent GUI.

Abstract: A de-identification system is described herein for converting original messages into de-identified messages. The de-identification system leverages original message-inception-functionality which operates as a gateway for providing original messages for use by a production environment. Namely, the de-identification system includes a transformation module that receives the original messages from the original message-inception functionality. The transformation module then converts instances of sensitive information contained in the original messages into non-sensitive information, to produce the de-identified messages. A de-identified environment can consume the de-identified messages with high confidence that the messages have been properly sanitized. This is because the de-identification work has been performed at a well-contained quarantine level of the message processing functionality.

Abstract: An information management system (IMS) is described herein that provides supplemental information to a user who is interacting with an application module. In one implementation, the IMS includes a collection system, an information extraction module, and a notification system. The collection system provides collected information from one or more information sources. The information extraction module extracts application information from the application module, even though the application module may lack a native interface for providing the application information. The analysis engine determines supplemental information to present to the user based on the collected information and the application information. And the notification information provides notification information which alerts the user to the existence of the supplemental information. In one scenario, the IMS can be applied in a healthcare-related domain.

Abstract: Some implementations provide a user interface for generating an electronic document. An external component may be launched within the user interface for accessing external data, and context data of the current document may be provided to the external component. The external data that corresponds to the context data for the document may be displayed within the user interface, such as for enabling a user to interact with the data and/or include a portion of the data in the document.