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 for indicating the quality of a medical report including a medical report system which generates a medical score based on a clinician's interpretation of medical data, a portion of the medical report including text in a natural language; and a medical report grading device which processes the portion of text in natural language and generates one or more scores of one or more categories relating to the quality of the medical report.

Abstract: An apparatus (10) includes at least one electronic processor (20) programmed to: receive scheduled imaging examination information (13) for a medical imaging examination which the patient is to undergo including at least a patient identifier, a scheduled date of the medical imaging examination, and an imaging modality of the medical imaging examination; extract patient information (29) from one or more medical records of the patient based on the scheduled imaging examination information; and generate one or more preparatory action items (15) to be performed in preparation for the medical imaging examination based on the patient information and the scheduled imaging examination information.

Abstract: An apparatus (10) includes at least one electronic processor (20) programmed to: display, on a display device (24), at least one workflow (27) corresponding to an imaging examination order (11) for a patient, the workflow including a set of phases (31) over predicted time windows for the workflow, each phase in the set of phases including one or more steps (33) to be performed in the workflow; and dynamically update the at least one workflow on the display device with additional data related to one or more steps of the phases of the at least one workflow.

Abstract: A system for correlating patient radiology and pathology reports to track discordance among radiology and pathology diagnoses includes a natural language processor engine which extracts radiological information and pathology information. A correlation module correlates the radiology information and pathology information in a specific time period. A visualization graphical user interface indicates the correlation of radiology information and pathology information in a patient history. A tracking module which tracks misdiagnosis cases.

Abstract: A method and a report viewer for viewing a structured report, such as medical report describing radiological images using descriptors selected from a predefined list of descriptors, includes the acts of opening the medical report; and in response to the opening act, searching for a further report related to the descriptors of the medical report, and highlighting words and/or sentences in the further report that match keywords derived from the descriptors. The medical report and the further report may be displayed simultaneously with the words and/or sentences being highlighted. The further report may include an unstructured text report, and the method further includes mapping the descriptors to findings in the text report and highlighting the findings.

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 patient monitor (8) includes a display (10). Patient values (38) are obtained for one or more known variables of a risk prediction function (30). One or more unknown variables of the risk prediction function are determined, and at least one hyperplane (40) is defined as values assumable by the one or more unknown variables. Values of the risk prediction function are computed over the at least one hyperplane using the obtained patient values. A visualization template is selected from a database of visualization templates (50) using template selection indices including the risk prediction function and the one or more unknown variables. Using the visualization template, a visualization (52) of the computed values of the risk prediction function over the at least one hyperplane is displayed.

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 device, system, and method optimizes usage of prior studies. The method performed by an optimization server includes receiving a request for relevant prior studies for a patient from a practitioner device utilized by a medical professional, the request including a current study for the patient, the relevant prior studies being relevant to the current study. The method includes determining the relevant prior studies from prior studies of the patient based on a personalized model, the personalized model associated with the medical professional, the personalized model indicating a relevance score of the relevant prior studies to the current study. The method includes transmitting the relevant prior studies to the practitioner device.

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 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: A medical imaging apparatus includes a radiology workstation (10) with a workstation display (14) and one or more workstation user input devices (16). A medical imaging device controller (26) includes a controller display (30) and one or more controller user input devices (32). The medical imaging device controller is connected to control a medical imaging device (40) to acquire medical images (44).

Abstract: A system includes (100) includes a display (112) that sequentially displays images from an image data set at a predetermined rate, an optical attention monitoring device (120) that senses a characteristic indicative of a clinician's attention to each displayed image of the image data set, and a processor (106) that executes an attention detection module (118) that detects a lapse in attention with respect to one or more of the displayed images based on the sensed characteristic indicative of the clinician's attention and generates a signal indicating the one or more of the displayed images.

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: The invention relates to a system (SYS) for automatically extracting a location of an abnormality with respect to an anatomical structure from a report, the system comprising a tokenizer (U10) for tokenizing the report or a part of it, thereby producing a plurality of tokens, and an analyzer (U20) for identifying a semantic structure comprising identified tokens of the plurality of tokens, describing the location of the abnormality with respect to the anatomical structure. Optionally, the system further comprises a mapper (U30) for annotating a diagram representing the anatomical structure, based on the identified semantic structure describing the location of the abnormality with respect to the anatomical structure. Using the system, the location of the abnormality with respect to the anatomical structure can be extracted from each report of the plurality of reports produced over the period of time. The extracted locations may be used by a clinician for diagnostic purposes.

Abstract: A system and method for generating a radiological report. The system and method displaying, on a display, an image of a region of interest, determining an image characteristic of the region of interest, determining, via a processor, a recommendation based on the image characteristic, and generating, via the processor, a report including the recommendation.

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: When automatically populating medical report templates, insertable macros are indexed and searched not only my name or title but also by contents, such as keywords times, pre-defined terms for key information included in the macro, free texts in the macros, etc. When a unique macro is found, the system inserts the text of the macro into the report being generated. If multiple related macros are found, the system highlights the macros for user review. After the insertion of the macro into the template, the system identifies pre-defined terms and fills in the key information value(s). The system thus facilitates, e.g., radiologists' observation reporting procedure through an intelligent matching algorithm that facilitates finding a unique macro, which in turn aids in filling in report field instance values and optimizes radiology workflow.