Abstract: A radiology workstation includes at least one display device, at least one user input device, and an processor configured to: provide a radiology examination reading environment configured to display images of a radiology examination on the at least one display device, receive a radiology report for the radiology examination which is entered using the at least one user input device; analyze the radiology report to predict one or more billing codes for the radiology examination; analyze the radiology report to identify any missing content for supporting the one or more billing codes that is missing from the radiology report; and one of (i) in response to identifying missing content, display an indication of the missing content, or (ii) in response to not identifying any missing content, storing the radiology report in a database.

Abstract: A non-transitory computer readable medium (26) stores instructions readable and executable by at least one electronic processor (20) to perform medical procedure billing rate optimization method (100).

Abstract: A non-transitory computer readable medium (26, 30) stores instructions executable by at least one electronic processor (20, 32) to a method (100) of monitoring performance of medical professionals. The method includes tracking a quantification of examinations performed by one or more medical professionals; tracking credentials under which the examinations are performed; and outputting, on at least one display device, a representation of usage of one or more credentials by one or more medical professionals of the plurality of medical professionals based on the tracked quantities of examinations and the tracked credentials under which the examinations are performed.

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: An apparatus for scheduling radiologists is configured to: track historical radiologist performance data related to a radiology staff who perform radiology examination readings for a plurality of medical facilities; analyze the historical radiologist performance data to determine reading capacities of the radiologists; determine reading capacities for future time blocks based on the reading capacities of the radiologists and a duty schedule of the radiologists of the radiology staff for the future time blocks; and estimate radiology examination volumes for the future time blocks based on historical demand on the radiology staff for radiology examination readings.

Abstract: A radiology workstation (10) includes a computer (12) connected to receive a stack of radiology images of a portion of a radiology examination subject. The computer includes at least one display component (14) and at least one user input component (16). The computer includes at least one processor (22) programmed to: display selected radiology images of the stack of radiology images on the at least one display component; receive entry of a current radiology report via the at least one user input component and displaying the entered radiology report on the at least one display component; identify a radiology finding by at least one of (i) automated analysis of the stack of radiology images and (ii) detecting textual description of the radiology finding in the radiology report; identify or extract at least one key image from the stack of radiology images depicting the radiology finding; and embed or link the at least one key image with the radiology report.

Abstract: A system, method and computer readable storage medium for generating a context driven summary view of medical findings by retrieving a current study including at least one image to be analyzed, extracting current context information from the current study and storing the current context information in a database and matching the current context information with prior context information from prior studies to return a set of relevant prior studies.

Abstract: A method includes detecting a focus of attention of an observer of an anatomical image of a set of images, determining a location of the anatomical image includes tissue with a finding of interest based on the detected focus of attention, identifying an anatomical image, from an earlier acquired imaging data set, with a same portion of tissue as the displayed image, visually displaying graphical indicia, concurrently with the displayed image, that identifies the earlier acquired image.

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 radiology workstation (10) includes a computer (12) connected to receive a stack of radiology images of a portion of a radiology examination subject. The computer includes at least one display component (14) and at least one user input component (16). The computer includes at least one processor (22) programmed to: display selected radiology images of the stack of radiology images on the at least one display component; receive entry of a current radiology report via the at least one user input component and displaying the entered radiology report on the at least one display component; identify a radiology finding by at least one of (i) automated analysis of the stack of radiology images and (ii) detecting textual description of the radiology finding in the radiology report; identify or extract at least one key image from the stack of radiology images depicting the radiology finding; and embed or link the at least one key image with the radiology report.

Abstract: An annotation support system (10) comprising at least one display device (20). A context extraction module (24, 36) determines a context of a current medical image from a current image study. A matching module (26, 38) compares the context of the current medical image to contexts of prior medical images from prior image studies. A display module (28, 40) displays at least one of context relevant annotations and context relevant medical images from the prior image studies which match the context of the current medical study.

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.

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 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, 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 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: A longitudinal tracking system (10) includes a lesion tracking unit (28) and a display device (24). In response to a received patient identifier, the lesion tracking unit (28) constructs (102) a display of characteristic information for at least one longitudinally tracked lesion retrieved according to the patient identifier, and an identifier of at least one missing measurement determined en) by comparing a temporal identifier of retrieved reports with the characteristic information, and each report includes a narrative with measurements of at least one reported lesion for the patient identifier. The display device (24) displays the constructed display of the characteristic information for each longitudinally tracked lesion, and the identifier of the at least one missing measurement.

Abstract: A system and method for receiving a plurality of reports, each of the reports describing a corresponding one of a plurality of medical imaging studies of a patient, extracting, from each of the reports, a corresponding characteristic, identifying a subset of the reports based on a similarity of the characteristics of the reports comprising the subset and generating a visualization of a portion of a patient history for the patient, the portion comprising the subset of the reports.

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.