Patient library interface combining comparison information with feedback
First Claim
1. A system comprising:
- memory including instructions; and
at least one processor to execute the instructions to generate, display, and manage;
a graphical user interface defining an interactive display area;
a workload manager to display a worklist of exams in the display area, the workload manager to close and transform to a miniaturized form in the display area when the worklist is not in use; and
a diagnostic hub to be displayed in the display area, the diagnostic hub to expand to occupy a remainder of the display area when the workload manager is in the miniaturized form and to reduce to accommodate the workload manager when the worklist is in use,the diagnostic hub to display, in the display area via the graphical user interface when triggered by selection of an exam from the worklist, at least;
a clinical journey area to provide a timeline of a set of imaging and non-imaging clinical content for a patient;
a comparison area to provide a subset of the set of imaging and non-imaging clinical content, the subset identified from the set based on a relevancy analysis, the relevancy analysis to include application of a relevancy algorithm to the set of imaging and non-imaging clinical content based on the exam to determine the subset, the relevancy algorithm formed from a combination of machine learning, natural language processing, and data usage information with respect to the exam to combine data usage information with data output from natural language processing of unstructured content to create a feature set to which machine learning is applied to determine relevancy for inclusion in the subset; and
a preview panel to display and facilitate user interaction with content selected from the clinical journey area or the comparison area before the content is loaded for exam reading.
1 Assignment
0 Petitions
Accused Products
Abstract
Disclosed and described systems, methods, and apparatus provided facilitate analysis, presentation, and comparison of clinical information. An example system includes a processor configured to provide a patient library interface. The interface displays a plurality of events along a patient timeline and a list of items for comparison to a clinical scenario. The scenario is specified in an interface configuration to trigger collection of the list of comparison items. The processor receives and adds items to the list based on a relevancy analysis of each item to the clinical scenario. The processor facilitates feedback to add, remove, and rate relevance of item(s) in the list. The processor displays item(s) from the list in conjunction with documentation from the clinical scenario and facilitates user interaction with the item(s) and documentation. The processor updates a data source based on the user feedback and user interaction.
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Citations
20 Claims
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1. A system comprising:
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memory including instructions; and at least one processor to execute the instructions to generate, display, and manage; a graphical user interface defining an interactive display area; a workload manager to display a worklist of exams in the display area, the workload manager to close and transform to a miniaturized form in the display area when the worklist is not in use; and a diagnostic hub to be displayed in the display area, the diagnostic hub to expand to occupy a remainder of the display area when the workload manager is in the miniaturized form and to reduce to accommodate the workload manager when the worklist is in use, the diagnostic hub to display, in the display area via the graphical user interface when triggered by selection of an exam from the worklist, at least; a clinical journey area to provide a timeline of a set of imaging and non-imaging clinical content for a patient; a comparison area to provide a subset of the set of imaging and non-imaging clinical content, the subset identified from the set based on a relevancy analysis, the relevancy analysis to include application of a relevancy algorithm to the set of imaging and non-imaging clinical content based on the exam to determine the subset, the relevancy algorithm formed from a combination of machine learning, natural language processing, and data usage information with respect to the exam to combine data usage information with data output from natural language processing of unstructured content to create a feature set to which machine learning is applied to determine relevancy for inclusion in the subset; and a preview panel to display and facilitate user interaction with content selected from the clinical journey area or the comparison area before the content is loaded for exam reading. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. At least one computer-readable storage medium comprising program instructions for execution by at least one computing device, the instructions, when executed, causing the at least one computing device to generate, display, and manage at least:
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a graphical user interface defining an interactive display area; a workload manager to display a worklist of exams in the display area, the workload manager to close and transform to a miniaturized form in the display area when the worklist is not in use; and a diagnostic hub to be displayed in the display area, the diagnostic hub to expand to occupy a remainder of the display area when the workload manager is in the miniaturized form and to reduce to accommodate the workload manager when the worklist is in use, the diagnostic hub to display, in the display area via the graphical user interface when triggered by selection of an exam from the worklist, at least; a clinical journey area to provide a timeline of a set of imaging and non-imaging clinical content for a patient; a comparison area to provide a subset of the set of imaging and non-imaging clinical content, the subset identified from the set based on a relevancy analysis, the relevancy analysis to include application of a relevancy algorithm to the set of imaging and non-imaging clinical content based on the exam to determine the subset, the relevancy algorithm formed from a combination of machine learning, natural language processing, and data usage information with respect to the exam to combine data usage information with data output from natural language processing of unstructured content to create a feature set to which machine learning is applied to determine relevancy for inclusion in the subset; and a preview panel to display and facilitate user interaction with content selected from the clinical journey area or the comparison area before the content is loaded for exam reading. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer-implemented method comprising:
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generating and displaying a graphical user interface defining an interactive display area, the interactive display area including; a workload manager to display a worklist of exams in the display area, the workload manager to close and transform to a miniaturized form in the display area when the worklist is not in use; and a diagnostic hub to be displayed in the display area, the diagnostic hub to expand to occupy a remainder of the display area when the workload manager is in the miniaturized form and to reduce to accommodate the workload manager when the worklist is in use, in response to selection of an exam from the worklist, triggering the diagnostic hub to display, in the display area via the graphical user interface, at least; a clinical journey area to provide a timeline of a set of imaging and non-imaging clinical content for a patient; a comparison area to provide a subset of the set of imaging and non-imaging clinical content, the subset identified from the set based on a relevancy analysis, the relevancy analysis to include application of a relevancy algorithm to the set of imaging and non-imaging clinical content based on the exam to determine the subset, the relevancy algorithm formed from a combination of machine learning, natural language processing, and data usage information with respect to the exam to combine data usage information with data output from natural language processing of unstructured content to create a feature set to which machine learning is applied to determine relevancy for inclusion in the subset; and a preview panel to display and facilitate user interaction with content selected from the clinical journey area or the comparison area before the content is loaded for exam reading; and managing the interactive display area based on user interaction with at least one of the workload manager or the diagnostic hub. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification