Abstract: The synchronous semantic processing technique described herein provides the level of completeness of a document in real-time as a user is creating or editing the document and provides recommendations to the user to increase the level of completeness. In one embodiment, the level of completeness of a medical document, and the state of the components of the document that are used to determine level, are used to make recommendations to a user (e.g., a physician) to provide additional information for the components that determine the level, thereby increasing the level. The level of medical documentation can be represented by an Evaluation and Management (E&M) coding level, which is a U.S. standard defined to evaluate how comprehensive a medical document is. The E&M level is used to determine the completeness of the medical document and to make recommendations to the user to improve the quality and the completeness of the document.

Abstract: A data consumer is provided with a system that enables automatic generation of a virtual database schema in order to support a customized pattern of data consumption across one or more source databases. In one embodiment, a metadata manager component is configured to facilitate creation of a first data tag and a second data tag. A schema definition manager component is configured to facilitate creation of a data entity that groups the first data tag with the second data tag. A virtual schema generation service component generates the virtual database schema by analyzing the data entity and, based on the grouping of the first data tag with the second data tag, automatically generating and storing a database query statement that, when executed, causes a retrieval of data consistent with data location indicators included in the first and second data tags.

Abstract: Described is a technology by which medical patient facial images are acquired and maintained for associating with a patient's records and/or other items. A video camera may provide video frames, such as captured when a patient is being admitted to a hospital. Face detection may be employed to clip the facial part from the frame. Multiple images of a patient's face may be displayed on a user interface to allow selection of a representative image. Also described is obtaining the patient images by processing electronic documents (e.g., patient records) to look for a face pictured therein.