Browse Prior Art Database

Advanced Marktation Features

IP.com Disclosure Number: IPCOM000250201D
Publication Date: 2017-Jun-09
Document File: 2 page(s) / 69K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are new Marktation* features. One is a method of combining image analytics, a user interface, and information about the patient, institution, exam type, or other exam attributes to deduce and automate a reporting process. Another provides a means of color-coding Marktations to allow the patient to easily understand the information.

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Advanced Marktation Features

Marktation* is a new image reading process that aims at increasing the efficiency and accuracy

of reading medical images by combining image analytics, annotation, and dictation.

This disclosure describes new Marktation features not found in the current image reading

process. Prior descriptions do not include specifics regarding some of the functionality

subsequently planned in the product. For example, the product literature does not explicitly

disclose the specifics of a physician using a Graphical User Interface (GUI) (dialog) that appears

on the image next to the Marktation when the Marktation is created or edited, such that the

reading physician can categorize a breast lesion as benign, probably benign, or suspicious. It

does not include an intelligent and configurable rules-based system wherein the category

indicated on the image is combined with other information about the patient or exam to result

in an automated assessment. For example:

If a screening exam:

auto-select Cat 0 if any probably benign or suspicious.

auto-select Cat 1 if no marktation,

auto-select Cat 2 if benign marktation

If a diagnostic exam,

auto-select Cat 1 for a negative exam,

auto-select Cat 2 for benign finding exam

auto-select Cat 3 for a prob-benign exam,

auto-select Cat 4 for any suspicious exam

This method of combining image analytics, a user interface, and information about the patient,

institution, exam type, or other exam attributes to deduce and automate a reporting process

may extend well beyond breast imaging. For exampl...