Abstract: A device, system, and method determines a reading environment by synthesizing downstream needs. The method at a workflow server includes receiving a request from a physician device utilized by a referring physician, the request directed to performing an imaging procedure. The method includes determining at least one normalized need from the request, the normalized need corresponding to the referring physician. The method includes generating information to be included in a reading environment based on the at least one normalized need, the information assisting an image interpreter in interpreting the imaging procedure.

Abstract: A system and method for alerting a user of a new risk score. The system includes a processor that receives a medical report for a patient, extract data from the medical report, computes a risk score based at least in part on the extracted data, compares the risk score to a previous risk score of the patient and determines when a change between the risk score and the previous risk score exceeds a predetermined threshold. The system further includes a display that displays an alert when the change exceeds the predetermined threshold.

Abstract: A radiology viewer includes an electronic processor (10, 22), a display (12), input device(s) (14, 16), and a non-transitory storage medium storing executable instructions. Retrieval instructions (42) are executable to retrieve an index of prior radiology examinations (24, 26) from an electronic patient chart (20) in which the prior radiology examinations are indexed by at least date, imaging modality, and anatomical region and to retrieve billable order codes for the prior radiology examinations from an order management system (30). Organizing instructions (44) are executable to organize the prior radiology examinations into groups using features of the prior radiology examinations including features comprising or generated from the billable order codes for the prior radiology examinations. Viewer instructions (50) are executable to display an organized index of the prior radiology examinations on the at least one display in which the prior radiology examinations are organized into the groups.

Abstract: A device, system, and method updates a problem list. The method performed at a reporting server includes receiving a first document, the first document associated with a second document, the first document including first information. The method includes extracting first concepts from the first information of the first document. The method includes determining select ones of the first concepts to be included in the second document. The method includes updating the second document based on the select ones of the first concepts.

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 system includes a ranking engine (110) and a user interface (130). The ranking engine receives a list (114) for a patient which includes a plurality of occurrences (210) and computes a relevance score for each occurrence (210) in the list. The computed relevance score is according to a relevance scheme (116) that maps relevance scores from a lexicon controlling the list to each of the plurality of occurrences. The user interface (130) displays the list on a display device (137) of a local computing device (140) ordered by a presented computed relevance score that includes the computed relevance score. Each displayed occurrence of the plurality of occurrences includes a feedback indicator (136). The user interface receives feedback comprising an input for one displayed occurrence of the plurality of occurrences according to the feedback indicator which indicates the one displayed occurrence is to be displayed higher or lower in the list than a current position. The input is a binary indicator.

Abstract: A tumor tracking device (110) includes a guideline engine (130), a detection engine (132), and a user interface (134). The guideline engine (130) receives a current measurement and a plurality of prior measurements of at least one lesion according to a medical image of a subject, each of the current and the plurality of prior measurements identified chronologically, and calculates growth between the current measurement and a most recent measurement of the plurality of prior measurements.

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: The present disclosure pertains to a system configured to facilitate computational analysis of a health condition. In some embodiments, the system is configured to: obtain a graph comprising nodes and edges, the nodes comprising nodes of a first node type that correspond to risk parameters and nodes of a second node type that correspond to risk models; process the graph to generate a resulting graph for a first individual by: determining a value of a risk parameter of a first-type node (that has an edge linking the first-type node to a second-type node in the graph) with respect to the first individual; and removing edges linking the second-type node to first-type nodes from the graph based on the value of the risk parameter of the first-type node; and select, based on the resulting graph, risk models to be used to perform analysis of the first individual's health condition.

Abstract: In a tool for assisting in summarizing salient medical report findings, finding tokens (66) representing findings are extracted from a current medical report, and a salience value is computed for each such finding token based on statistics for the finding token in a reference database (32) including a count of reference medical reports of the containing the finding token in a report summary section and a count of reference medical reports containing the finding token anywhere in the report. A ranking or sub-set of findings extracted from the current medical report is displayed. The displayed findings may be ranked, or the sub-set chosen, by salience value. To generate the reference database, for each reference medical report (42) finding tokens (46) are extracted and it is determined whether each such finding token is salient based on whether the finding token is extracted from a report summary section of the reference report.

Abstract: A medical imaging system (100) includes a user interface (110) and a magnifying view engine (130). The user interface displays a view of a medical image on a display device (114) and to provide a moveable indicator (116) identifying a moveable point positioned in the displayed medical image. The magnifying view engine (130) generates a localized enlargement of a region of interest within the displayed medical image in response to selection of an existing end point or an existing contour in the displayed medical image according to a first input by one or more input devices and indicated by a current position of the moveable indicator.

Abstract: The present disclosure pertains to a medical summary interface view generation system. Medical reports are often verbose, and a specific user may only be interested in a fraction of the information conveyed in the report. Typical generation of a report summary is time consuming and laborious. The present system eases the creation of report summaries by automatically emphasizing and/or de-emphasizing items in a view of a medical report that might be of interest to the user according to pre-defined templates. This preserves control of what is included in the summary view while removing the laborious task of typing out a report summary from scratch.

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 and method are provided for enabling a user to annotate a medical image. A collection of key-value pairs is provided, in which a key represents an image-observable quantity and a value represents the value of the image-observable quantity. A collection of structured finding objects is provided, wherein each structured finding object represents a set of key-value pairs, each set of key-value pairs representing a different annotation of the medical image. The user is enabled to select one or more of the collection of key-value pairs, thereby obtaining a user-selected structured finding object which represents a preliminary annotation of the medical image by the user. At least one recommended structured finding object is selected by using the user-selected structured finding object as input to a probabilistic recommendation algorithm. Feedback is provided to the user on the basis of the recommended structured finding object. The annotation is well suited for, e.g.

Abstract: A system and method for determining a desired action of a user reading a medical image. The system and method retrieving and displaying an image to be read by a user, receiving, via a processor, a contextual cue of the user in response to the displayed image to be read, mapping the contextual cue to a user intention via the processor, and generating an action based on the user intention via the processor.

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 and arrangement for determining measurements that need to be registered are disclosed. The method retrieves a plurality of clinical reports, detects a measurement in each of the plurality of clinical reports, and determines which of the detected measurements have been registered in a defined structured format. A method also identifies a plurality of patients with scheduled future clinical exam, determines if any of the plurality of patients have measurements that require registration and places the plurality of patients with the measurements requiring registration on a worklist. A further method retrieves data for a plurality of patients, determines whether each of the patients have new measurements, determines, for each of the patients, whether the new measurements have been registered, identifies a radiologist for each of the new measurements and generates a compliance scorecard for each of the radiologists.

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 radiology workstation (24) includes at least one display component (30, 32); at least one user input device (28); and at least one microprocessor (26, 34) programmed to generate a contextual ranking of clinical codes for a context received via the at least one user input device (28) and to display information pertaining to the contextual ranking on the display component (30, 32) of the radiology workstation (24). The contextual ranking is computed by the microprocessor from (i) statistics of occurrences of the clinical codes in radiology reports contained in a radiology reports database (10) and satisfying the context and (ii) statistics of the clinical codes in problem lists contained in a problem lists database and satisfying the context.

Abstract: A rules verification system recursively resolves all conflicts that may be introduced by adding a finding to a set of findings of a patient. The system determines a set of findings that may be added to or removed from the existing set of findings such that the resultant set of findings do not violate any of the rules. Each rule is structured using an “IF {predicate}, THEN {consequent} ” construct, and if the findings provide a predicate that is true and a consequent that is false, the recursive resolution process includes, for each violated rule, finding a first set of findings that violate the predicate of the rule and a second set of findings that satisfy the consequent of the rule. The recursive process provides sets of branches that either end at a non-feasible solution, or end at a complete set of findings that satisfies all of the rules.