A context driven summary view of radiology findings

Abstract

A system, method and computer readable storage medium for generating a context driven summary view of medical findings by retrieving a current study including at least one image to be analyzed, extracting current context information from the current study and storing the current context information in a database and matching the current context information with prior context information from prior studies to return a set of relevant prior studies.

Description

Background technique [0001] Radiologists need to process an increasing number of images to optimally diagnose and treat patients. For example, patients such as cancer patients often undergo many imaging exams, accumulating in their medical records many studies related to the same anatomical region. Whenever a new study needs to be read, the radiologist opens the current order to understand why the study has been performed and what previous findings the patient had. However, imaging orders contain limited information about findings such that radiologists need to unpack the results of the most relevant previous studies to better understand the status of the patient's findings. However, this previous report may not contain sufficient information on all relevant findings, thereby providing an incomplete overview of the patient's discovery history. Therefore, radiologists often need to open multiple previous reports and / or images, and establish mental links between related findin...

AI Technical Summary

Problems solved by technology

The process is difficult and time-consuming

Furthermore, there are currently no quality assurance tools to ensure consistency and longevity of findings, enabling some previously identified findings to be overlooked

Potential adverse impact on patient outcomes if findings are not followed up as needed

Images