Identifying errors in medical data
AssigneeInternational Business Machines Corporation
InventorsKeith P. Biegert, Brendan C. Bull, David Contreras, Robert C. Sizemore, Sterling R. Smith
Life of this patent
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Abstract
A computer processor may receive medical data including a report and an image. The computer processor may analyze the report using natural language processing to identify a condition and a corresponding criterion. The computer processor may also analyze the image using an image processing model to generate an image analysis. The computer processor may determine whether the report has a potential problem by comparing the image analysis to the criterion.
Claims17
A computer implemented method for identifying errors in medical data, the method comprising:
- receiving medical data comprising a report and an image;
- analyzing the report, by a processor, using natural language processing (NLP) to identify a condition and a criterion, wherein the condition is a medical condition, and wherein the criterion includes diagnostic information that corresponds to the condition;
- generating an image analysis, by the processor, by analyzing the image using an image processing model;
- and
- determining whether the report has a potential problem by comparing at least the criterion to the image analysis.
A computer implemented method for identifying errors in medical data, the method comprising:
- receiving medical data of a patient, the medical data comprising a medical report and an image;
- converting the report into machine-encoded text using optical character recognition;
- analyzing, by a processor, the converted report using natural language processing (NLP) to identify a condition and a criterion, wherein the condition is a medical condition, and wherein the criterion includes a severity that corresponds to the condition;
- determining, based on the identified condition and from a plurality of image processing models, a particular image processing model that corresponds to the identified condition, wherein the plurality of image processing models includes a fracture analysis model and a tumor analysis model;
- generating, by the processor, an image analysis by analyzing the image using the particular image processing model, the image analysis including a an image condition and an image criterion, wherein the image condition is a medical condition identified in the image, and the image criterion is a severity of the image condition;
- determining that the condition and the image condition match;
- comparing, in response to determining that the condition and the image condition match, the criterion to the image criterion;
- determining that the criterion and the image criterion do not match;
- and
- transmitting, in response to determining that the criterion and the image criterion do not match, a notification that the report has a potential problem along with the report to a user.
Dependencies are inferred from the claim text.