We present an interactive tool to help clinicians find relevant information in patient notes. Our tool builds Natural Language Processing models to highlight parts of a document.
It allows users to make any necessary corrections, thus forming a feedback loop to improve the NLP models.
In this demo, we demonstrate our tool for identifying incidental findings in a trauma service. Radiologic imaging often uncovers findings that are unrelated to the trauma. These are called “incidental" findings and identifying them is necessary for proper follow-up.
Narrated by: Bryan Andrews. Revision 25.02.19-34b3456.