Abstract: A system (100) includes an echocardiogram measurement tool (150) that determines a subset (152) of measurements from a list of echocardiogram measurements according to a view of an ultrasound imaging sequence (110) and a mapping (154) between the view and the subset of measurements.

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 system (100) includes an echocardiogram measurement tool (150) that determines a subset (152) of measurements from a list of echocardiogram measurements according to a view of an ultrasound imaging sequence (110) and a mapping (154) between the view and the subset of measurements.

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: 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 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 device, system, and method determines when to select limited echocardiography exams. The method is performed at a workflow server. The method includes receiving an image order for a patient, the image order including information indicative of a reason to perform an image acquisition procedure. The method includes determining whether the patient has had a prior image acquisition procedure performed within a time threshold relative to the image order. The method includes when the prior image acquisition procedure had been performed within the time threshold, determining whether the reason requires a number of views within a view threshold. The method includes when the number of views is within the view threshold, generating an indication that the image acquisition Communications procedure is to be performed with a limited capacity.

Abstract: A system (100) includes an echocardiogram measurement tool (150) that determines a subset (152) of measurements from a list of echocardiogram measurements according to a view of an ultrasound imaging sequence (110) and a mapping (154) between the view and the subset of measurements.

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 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 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: 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: The present disclosure relates to visually indicating contributions of clinical risk factors to various model-based health assessments. In various embodiments, a plurality of clinical risk factors associated with a patient may be received and applied as input across a trained model to generate a score associated with the patient. Based on the trained model, first and second contributions of respective first and second clinical risk factors of the plurality of clinical risk factors to the score may be determined. A graphical user interface may be provided on a display, and the graphical user interface may include at least a first visual indication of the first contribution and a second visual indication of the second contribution.

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.