Abstract: A system and method for presenting summarized information of medical reports. The system and method receiving a plurality of medical reports, each medical report including a plurality of sections, each of the sections including text content, correlating corresponding sections of each of the medical reports into section types, extracting the text content of the sections of the medical reports for a selected section type and aggregating, into a single display, the text content of the sections of all the medical reports for the selected section type.

Abstract: A radiology workstation (20) includes a display device (22), at least one user input device (24, 26, 28), and an electronic data processor. The workstation provides an image rendering component (30) for rendering a radiological image, and a report data entry component (32) for entry of a radiology examination report (34) via the at least one user input device and for display of the radiology examination report during entry. The workstation further provides a dynamic checklist component (40) for storing a queue (44) of open checklist items, and for: displaying a checklist comprising open checklist items stored in the queue; dynamically analyzing the radiology examination report during entry to identify a checklist update trigger; updating the queue of open checklist items based on the identified checklist update trigger; and updating the display of the checklist to comprise the open checklist items stored in the updated queue.

Abstract: A system and method perform the steps of retrieving a report for an imaging exam; parsing out text from the report; mapping the parsed text to an ontology; automatically deriving a categorization scheme from ontology concepts extracted from the report for the imaging exam; assigning a semantic category to the imaging exam using the ontology concepts and the categorization scheme; and grouping the imaging exam with other imaging exams based on the assigned semantic category.

Abstract: A region of interest segmentation system includes a display device, a gaze-tracking device, a gaze point collector, a boundary identifier, and a region identifier. The display device displays an image. The gaze-tracking device, generates gaze points relative to the displayed image. The gaze point collector selects gaze points from the generated gaze points corresponding to a region of interest of the displayed image. the boundary identifier estimates a boundary based on the selected gaze points. The region identifier segments the region of interest based on the estimated boundary.

Abstract: The following relates to an improved system and method for displaying medical information. In one aspect, a root concepts circle including at least one clinical concept category is displayed. A children concept ring, which may be built based on a user-selected clinical concept category of the at least one clinical concept categories, may surround or partially surround the root concept circle. A ring fashion timeline may also be displayed, and may be built based on a user-selected clinical concept of the at least one clinical concepts.

Abstract: A system and method perform the steps of retrieving a problem list with active diagnostic information items for a patient; constructing a clinical context for a current imaging exam based on retrieved relevant diagnostic information for the current imaging exam; determining a ranking scheme with relevance rules based on the clinical context, wherein the relevance rules rank a relevance of problem list diagnostic information items based on the clinical context for the current imaging exam; selecting a ranking scheme; and implementing the selected ranking scheme to sort the problem list diagnostic information items.

Abstract: A system (100) for enabling study of image data, comprising: —a user interface subsystem (120) for i) receiving navigation commands (022) from a user, and ii) displaying different views (400) of the image data (042) in response to the navigation commands for enabling the user to navigate through the image data; —a function execution subsystem (160) for executing individual ones of a plurality of system functions (500) to support the user in the study of the image data; and—a pattern analysis subsystem (140) for: j) obtaining, from the user interface subsystem, data (022) indicative of a display sequence of the different views during the navigating through the image data, jj) analyzing the data to determine a navigation pattern (631) of the user, and jjj) based on the navigation pattern, selecting one of the plurality of system functions for execution by the function execution subsystem.

Abstract: A radiology workstation (16) includes a display device (25) and at least one user input device (20, 22, 24). A server computer (10) is programmed to operate with the radiology workstation to perform the radiology reading task (14) including a radiology reading support method comprising: receiving user input identifying a radiological finding; retrieving a structured finding object (SFO) template for the radiological finding; displaying an SFO annotation graphical user interface (GUI) dialog (40) having annotation data entry fields for annotating the retrieved SFO template; building an SFO (60) representing the radiological finding by annotating the SFO template via the SFO GUI dialog; and generating natural language text describing the radiological finding from the SFO. Application program interface (API) action rules (54) may be applied to determine whether the SFO being built satisfies any API action rule, and if so a corresponding application program is invoked.

Abstract: A system, method and computer readable storage medium for retrieving a narrative report for at least one study including a plurality of images of a patient from a memory, determining text structure boundaries to identify and classify each text structure in the narrative report, determining image references in each text structure of the narrative report, extracting image references from text structures classified as including an image reference and determining a study to which an extracted image reference corresponds.

Abstract: A system for accessing a database of a plurality of image data sets includes an acquisition unit which acquires a query for searching the database for an image data set or an image data subset comprised in an image data set. The query includes at least one medically relevant term which defines a search criteria. A determining unit determines the image data set or the image data subset included in the image data set based on the strength of semantic matches between the at least one medically relevant term and (a) corresponding medical annotation(s) describing the image data set. A retrieving unit retrieves the determined image data set or image data subset from the database.

Abstract: A medical diagnostic reporting system monitors a diagnostician's activities performed on medical images while developing a diagnosis, extracts image context and relevant data based on these activities, then transforms the relevant data into a structured narrative based on the image context. The structured narrative is presented to the diagnostician in a non-intrusive manner, and allows the diagnostician to select whether to insert the structured narrative into the ongoing diagnostic report.

Abstract: A system for processing a report, comprising a natural language processing unit (1) for processing a natural language textual report to detect a description of a reference to at least part of a data object, wherein the description is expressed in natural language as a part of the natural language textual report. The system comprises an accessing unit (2) for accessing said at least part of the data object in a collection of data objects, based on the reference. The system comprises an associating unit (3) for associating the accessed at least part of the data object with the description of the reference. The natural language processing unit (1) comprises a view parameter extraction unit (4) for extracting a view parameter indicative of a view of the data object from the description of the reference.

Abstract: A system, method and computer readable storage medium for retrieving a narrative report for at least one study including a plurality of images of a patient from a memory, determining text structure boundaries to identify and classify each text structure in the narrative report, determining image references in each text structure of the narrative report, extracting image references from text structures classified as including an image reference and determining a study to which an extracted image reference corresponds.

Abstract: When generating and editing episodes of care for patient, care events are grouped into episodes and stored in an episode of care database (14) that stores the episodes of care established for a patient. A data acquisition module (12) collects medical N events from one or more medical data systems, and an episode of care visualization module (16) displays to a user established episodes of care. An episode of care construction user interface (18) allows the user to create, extend and modify an episode of care in the episode of care visualization module. A grouping module (20) automatically creates episodes of care and presents suggestions to the user for extending established episodes of care with yet unrelated medical events.

Abstract: A system and method selects a user interface. The method is performed by an imaging device including a gaze tracker. The method includes receiving captured data used to generate an image that is displayed where the image includes identified areas. The method includes tracking a first viewing location on the image by a user of the imaging device. The method includes determining one of the identified areas in the image being viewed based upon the first viewing location. The method includes determining a first user interface to be provided based upon a first correlation to the determined identified area. The method includes displaying the first user interface for use by the user.

Abstract: A system for suggesting autocompletion terms during text entry of a report. A text entry unit (2) for enabling a user to enter a text into a current report (1). A term selector (11) for selecting at least one frequently co-occurring term (12), based on an extracted term (8), the extracted term section (9), the current section (10), and a co-occurrence statistic (7). An indicator (13) provides an indication of the at least one frequently co-occurring term (12) to the user. A system for analyzing reports comprises a co-occurrence statistics generator (26) for generating a plurality of co-occurrence statistics, a co-occurrence statistic being indicative of a first term, a first section, a second term, a second section, and a frequency in which reports contain the first term in the first section in combination with the second term in the second section.

Abstract: A non-transitory computer-readable storage medium storing a set of instructions that are executable by a processor, the set of instructions, when executed by the processor, causing the processor to perform operations comprising receiving an imaging study including a medical image of a patient; extracting image context from the imaging study; generating a search query based on the image context; sending the search query to a data source; receiving results of the query from a data source; and providing the results to a user.

Abstract: The present application describes a system (100) and method for detecting and labeling structures of interest. The system includes a current patient study database (102) containing a current patient study (200) with clinical contextual information (706). The system also includes an image metadata processing engine (118) configured to extract metadata for preparing an input for an anatomical structure classifier (608), a natural language processing engine (120) configured to extract clinical context information (706) from the prior patient documents, an anatomical structure detection and labeling engine (718), and a display device (108) configured to display findings from the current patient study. The anatomical structure detection and labeling engine (718) is configured to identify and label one or more structures of interest (716) from the extracted metadata and clinical context information (706). The processor (112) is also configured to aggregate series level data.

Abstract: In a gaze-tracking system, localized error correction may be applied. The display area may be partitioned into error-correction zones, and each zone may have its own error correcting parameters or function. Calibration points may be defined for each of these zones, and the correction parameters or function within each zone may be dependent upon the observed errors as the user views each calibration point associated with the zone. In like manner, the function applied to smooth the determined gaze point to reduce noise may also be localized by basing its characteristics on the noise exhibited at each calibration point associated with defined noise-calibration zones. The error correcting function and/or the noise smoothing function may be selected based on the requirements of the particular application that receives the corrected and smoothed gaze location.

Abstract: A method includes visually displaying an electronically formatted medical report, wherein the electronically formatted medical report references a set of electronically formatted images, acquiring the set of electronically formatted images, and linking the electronically formatted medical report and the set of electronically formatted images. A computing apparatus (102), includes a memory (108) with at least one computer readable instruction (106) and a processor (104) that executes the at least one computer readable instruction. The processor, in response to executing the at least one computer readable instruction, visually displays an electronically formatted medical report, wherein the electronically formatted medical report references a set of electronically formatted images, acquires the set of electronically formatted images, and links the electronically formatted medical report and the set of electronically formatted images.