Abstract: A system for acquiring and processing data for use by a clinical information system includes an interface processor for automatically receiving patient clinical data from multiple different sources. The interface processor parses clinical data received from an individual source to identify data elements indicating clinical data type as well as an associated time, stage, value and unit of measure. An adaptive data processor automatically adaptively processes the clinical data received from the individual source to provide processed clinical data accommodating absence of a value of at least one of the data elements by substituting at least one of, (a) a null value, (b) a zero value and (c) a default value for an absent data element. A storage processor stores the processed clinical data in a repository and retrieves a selectable plurality of the data elements for reproduction in an adaptively selectable presentation.

Abstract: A system uses imaging device orientation, location and inclination data to create a link between a medical report statement and a specific image or series of images enabling a user to view a patient imaging report of a patient automatically associating a patient image and a corresponding report statement. A system identifies an anatomical portion of a patient using positional data derived from an imaging device. The system includes an acquisition processor for acquiring positional data of a directional image acquisition unit oriented to acquire an image of a particular anatomical portion of a patient. The positional data corresponds to a particular orientation used to acquire a particular image of the particular anatomical portion of the patient. A repository of mapping data links positional data of the image acquisition unit with data identifying anatomical portions of a patient.

Abstract: An intelligent patient context sharing system enables a user, interfacing with multiple, different sources each storing patient specific context information, to create probabilistic associations among the patient specific context information. The system includes a predictive identification processor and a communication processor. The predictive identification processor performs probabilistic matching on multiple different items of patient specific context information to identify a patient-context information item likely to be associated with a first patient-context information item. The communication processor communicates the identified patient-context information item to an executable application for use by the executable application in accessing information associated with a specific patient.