System and method for prioritization and presentation of heterogeneous medical data
AssigneeKoninklijke Philips N.V.
InventorsMerlijn Sevenster, Eran Rubens
Life of this patent
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Abstract
A system and method prioritizes and presents heterogenous medical data. The method includes retrieving medical data of a patient, the medical data including data from multiple data sources. The method includes phenotyping the medical data to generate a reasoning trail and reasoning outcome including one or more codes, the reasoning trail including a basis for which the reasoning outcome is determined. The method includes assigning a relevance score to each of the one or more codes. The method includes ranking the codes based on the relevance score of each of the one or more codes. The method includes displaying the codes in rank order.
Claims18
A computer-implemented method, comprising:
- retrieving by a processor medical data of a patient, the medical data including data from multiple data sources;
- phenotyping, using a machine learning model, by the processor the medical data of the patient and an ontology and medical concepts from the medical data to generate a reasoning trail and a reasoning outcome including one or more medical codes and concepts and converting the one or more medical codes and concepts to a predetermined medical ontology, the reasoning trail including a basis for which the reasoning outcome is determined;
- assigning by the processor a relevance score to each of the one or more medical codes and concepts, wherein assigning the relevance score includes applying a weighing factor based on a presence of a second medical code within the one or more medical codes included in the reasoning outcome;
- ranking by the processor the medical codes and concepts based on the relevance score assigned to each of the one or more medical codes and concepts;
- and
- displaying the medical codes and concepts in rank order.
A non-transitory computer readable storage medium storing an executable program having instructions executable by a processor to:
- retrieve medical data of a patient, the medical data including data from multiple data sources;
- phenotype, using a machine learning model, the medical data of the patient and an ontology and medical concepts from the medical data to generate a reasoning trail and reasoning outcome including one or more medical codes and concepts and converting the one or more medical codes and concepts to a predetermined medical ontology, the reasoning trail including a basis for which the reasoning outcome is determined;
- assign a relevance score to each of the one or more medical codes and concepts, wherein assigning the relevance score includes applying a weighing factor based on a presence of a second medical code within the one or more medical codes included in the reasoning outcome;
- rank the medical codes and concepts based on the relevance score assigned to each of the one or more medical codes and concepts;
- and
- display the medical codes and concepts in rank order.
Dependencies are inferred from the claim text.