Abstract:
A system for creating a longitudinal view of patient findings includes a natural language processing engine which extracts clinical findings from a clinical document. A temporal resolution engine determines which other clinical documents the clinical findings belong to. A visualization graphical user interface indicates the correlation of the clinical findings between the clinical document and the other clinical documents. The natural language processing engine also links one or more images to the clinical findings.
Abstract:
A system for grouping image annotations is disclosed. A display unit (1) is arranged for displaying a plurality of medical images relating to a subject (5) comprising a representation of an anatomical object. An annotation unit (2) is arranged for receiving information regarding input of a plurality of annotations (3) of the plurality of medical images via a user interface (4), wherein each annotation comprises geometric information relative to an image of the plurality of medical images. A grouping unit (4) is arranged for detecting a group of annotations among the plurality of annotations, based on the geometric information and a set of rules that define general properties of geometric relationships of annotations (3) that belong to the same object. The detecting of the group of annotations is further based on a geometric relationship between the plurality of medical images.
Abstract:
A guided structured reporting apparatus (10) that enables clinicians to select report elements and generate a structured report (56), offering novel and improved structured reporting solutions that improves report (56) accuracy and precision, and expedites the generation of such a report (56). One or more processors (18) receive physiological information, generate a display, generate and display suggested finding codes (48) for adoption in the structured report (56), and generates and displays a structured report (56) based on the adopted finding codes (40).
Abstract:
A system and method generates a rule set. The method being performed by a rule generating device includes receiving a plurality of previously generated reports where each of the previously generated reports includes respective analysis content of a respective image. The method includes generating a candidate rule based upon the analysis content where the candidate rule is configured to increase a quality assurance of future reports. The method includes generating a respective score for each candidate rule based upon the candidate rule and the previously generated reports. The method includes including the candidate rule into the rule set when the score is above a predetermined threshold.
Abstract:
A computer (110)-implemented method for reading an imaging scan (410) includes accessing the imaging scan (410). The imaging scan (410) includes a stack of radiological images. The method also includes generating a plurality of two-dimensional images from cross-sectional data of the imaging scan (410). The plurality of two-dimensional images include projected information from the stack of radiological images. The projected information includes either a full imaged volume or an automatically-selected sub-volume and either a full range of image intensities or an automatically-selected sub-range of image intensities. The method further includes displaying the generated plurality of two-dimensional images or a subset thereof in a user interface (UI) of an advanced interpretation environment (380). The user interface provides access to the stack of radiological images or additional information derived from the stack of radiological images, by enabling interaction with the generated plurality of two-dimensional images.
Abstract:
The present application relates to a system and method for inserting structured content into template-based documents including retrieving one or more information objects queried from a database, detecting one or more paragraph identifiers in a document, mapping the one or more information objects to the detected one or more paragraph identifiers, automatically inserting the mapped information objects into the paragraph identifiers, and displaying the document with the one or more information objects inserted into the detected one or more paragraph identifiers.
Abstract:
A system for providing actionable annotations includes a clinical database storing one or more clinical documents including clinical data. A natural language processing engine which processes the clinical documents to detected clinical data. A context extraction and classification engine which generates clinical context information from the clinical data. An annotation recommending engine which generates a list of recommended annotations based on the clinical context information. A clinical interface engine which generates a user interface displaying the list of selectable recommended annotations.
Abstract:
A system (100) includes a processor (182) configured to generate (300) an unauthorized imaging order (122) for a patient from a follow-up recommendation for the patient. The unauthorized imaging order comprises a first anatomy, a first modality and/or a time interval. The processor is further configured to receive (320) an authorized imaging order (110) for the patient which includes a second anatomy and a second modality, and in response to an imaging examination of the patient according to the authorized imaging order and a determined overlap of the authorized imaging order and the unauthorized imaging order, acknowledge (360) that the follow-up recommendation has been satisfied by modifying a status of the unauthorized imaging order.
Abstract:
A lesion tracking system (10) includes a data interface (12), a computation engine (18), and a visualization engine (26). The data interface (12) is configured to receive an identification (44) and measurements (56) of at least one target lesion (42), which includes at least one undetermined target lesion (52) according to a plurality of determined categories (54), and each undetermined target lesion (52) is quantified differently according to each of the plurality of determined categories (54). The computation engine (18) is configured to compute a range of quantified measurements according to each determined category for each undetermined target lesion (52), and to compute a quantified total range (70) for the at least one target lesion based on a quantified measurement (62) for each determined target lesion and the computed range for each of the at least one undetermined target lesion. The visualization engine (26) is configured to generate a human readable display of the computed quantified total range (70) for the at least one target lesion.
Abstract:
A system for generating a patient clinical history for a current exam includes a clinical information database containing one or more clinical documents. Each clinical document including a list of patient specific information items. A clinical information crawler engine queries the clinical information database for clinical data, the clinical data including one or more information items. A clinical history construction interface displays the clinical data to the user. A narrative construction engine concatenates information items within the clinical data selected in the clinical history construction interface by the user and creates a free-text rendering, wherein the free-text rendering is inserted into the patient clinical history of a clinical report.