Context sensitive medical data entry system

Abstract

A system for providing actionable annotations includes a clinical database storing one or more clinical documents including clinical data. A natural language processing engine which processes the clinical documents to detected clinical data. A context extraction and classification engine which generates clinical context information from the clinical data. An annotation recommending engine which generates a list of recommended annotations based on the clinical context information. A clinical interface engine generates a user interface displaying the list of selectable recommended annotations.

Description

technical field [0001] The present application generally relates to providing context-sensitive actionable annotations in a context-sensitive manner requiring minimal user interaction. The present application finds particular application in connection with, and will be described with particular reference to, determining context-sensitive annotation lists that enable users to use information related to annotations. However, it should be understood that the present application also applies to other use cases and is not necessarily limited to the applications described above. Background technique [0002] A typical radiology workflow involves a physician first taking a patient to a radiology imaging facility to perform some imaging. After an imaging study has been performed using X-ray, CT, MRI (or some other modality), the images are transferred to a Picture Archiving and Communications System (PACS) using the Digital Imaging and Communications in Medicine (DICOM) standard. ...

AI Technical Summary

Problems solved by technology

[0004] This workflow has two drawbacks; first, selecting the most appropriate annotation from a long list is time-consuming, error-prone, and does not facilitate standardized descriptions (e.g., liver mass vs. mass in the liver)

Second, the annotations are simply attached to the image and not executable (e.g. discoveries that require subsequent processes can be annotated on the image, but this information cannot be easily used by downstream users - i.e. not executable)

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