Inferring semantic data organization from machine-learned relationships
AssigneeCerner Innovation, Inc.
InventorsMARGARET CUSHING KOLM, Christopher S. Finn, DAVID P. MCCALLIE, JR.
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Abstract
Systems, methods, and user interfaces infer data organization for display. An inference system learns patterns of how various healthcare items are typically grouped on a display so data can be aggregated and displayed in appropriate groupings to a clinician user. From a user perspective, it appears as though the display has been manually edited or a mapping has been created so that items are displayed in appropriate groups, even though neither editing nor mapping has been performed.
Claims20
A system for inferring data organization for display, the system comprising:
- a processor;
- and
- a computer storage medium storing computer-useable instructions that, when used by the processor, causes the processor to:
- (a) identify inferred relations of orders, results, or discrete data within a medical information system;
- and
- (b) utilizing the inferred relations of orders, results, or discrete data within the medical information system, infer a display ontology that groups related data for presentation to a user.
A computerized method for inferring data organization for display, the method comprising:
- identifying inferred relations of orders, results, or discrete data within a medical information system;
- and
- utilizing the inferred relations of orders, results, or discrete data within the medical information system to infer a display ontology that groups related data for presentation to a user.
One or more computer storage media having computer-executable instructions embodied thereon that, when executed by a computer, causes the computer to perform operations to facilitate a method of inferring data organization for display, the operations comprising:
- identifying inferred relations of orders, results, or discrete data within a medical information system;
- and
- utilizing the inferred relations of orders, results, or discrete data within the medical information system, inferring a display ontology that groups related data for presentation to a user, the display ontology eliminating a need to map which orders, results, or discrete data to specific data types or groups.
Dependencies are inferred from the claim text.