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 (100) includes a relevancy computation engine (150) configured to compute a relevancy score for a lab value in a lab report of a patient by applying rules that map one or more patient state indications and the lab value to the relevancy score.

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 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 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: 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 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: Echocardiogram reporting uses a list of standard echocardiogram findings (20) and a standard echocardiogram finding-relevant echocardiogram view lookup table (22). An echocardiogram reporting workstation (10) comprises a display component (12) and at least one user input component (14, 16, 18), and performs an echocardiogram examination reporting method including: interfacing with a user to enable the user to enter a current report (30) on a current echocardiogram examination of a cardiac subject; detecting a current finding value for a standard echocardiogram finding in the current report; and detecting a prior finding value for the echocardiogram finding in a prior report (36) on a prior echocardiogram examination of the cardiac subject.

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 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 device and method integrates a lesion stager in a reporting tool. The method includes receiving a user input. The user input is image data including at least one variable value. The variable value is indicative of a variable parameter of the image data. The method includes associating each of the at least one variable value with a corresponding variable parameter to generate at least one variable-value pair. The method includes determining a computed output value as a function of select ones of the at least one variable-value pair.

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: 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 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 device and method integrates a lesion stager in a reporting tool. The method includes receiving a user input. The user input is image data including at least one variable value. The variable value is indicative of a variable parameter of the image data. The method includes associating each of the at least one variable value with a corresponding variable parameter to generate at least one variable-value pair. The method includes determining a computed output value as a function of select ones of the at least one variable-value pair.

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.

Abstract: A lesion tracking system (10) includes a data interface (12), a computation engine (18), and a visualization engine (26). The data interface (12) is configured to receive an identification (44) and measurements (56) of at least one target lesion (42), which includes at least one undetermined target lesion (52) according to a plurality of determined categories (54), and each undetermined target lesion (52) is quantified differently according to each of the plurality of determined categories (54). The computation engine (18) is configured to compute a range of quantified measurements according to each determined category for each undetermined target lesion (52), and to compute a quantified total range (70) for the at least one target lesion based on a quantified measurement (62) for each determined target lesion and the computed range for each of the at least one undetermined target lesion.

Abstract: A system and method for efficiently assigning an imaging study to be read. The system and method performing the steps of retrieving a current imaging study to be read, determining whether the current imaging study is for a patient whose lesion has been previously registered in a workflow tool, and assigning the current imaging study to a user based on at least one of a computed expected net gain for each user available to read the current imaging study and an expected utility gain for the current imaging study, the expected net gain based on whether each user utilizes the workflow tool.

Abstract: A system for predicting a reason for a patient's next exam include a clinical database storing one or more clinical documents including clinical data. A natural language processing engine processes the clinical documents to detected clinical data. A normalization engine semantically normalizes the clinical data with respect to an internal data structure and/or an ontology. A pattern recognition engine generates a mapping from a set of known reasons for exam from the normalized clinical data. A prediction engine generates a prediction for a reason for the patient's next exam.

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.