Friday, December 5, 2025

Video: Demo of Walter Reed App to Review Patient Charts Faster, More Accurately Using Machine Learning

“During the last 9.5 yrs my team has designed and developed dozens of tools and software applications. Some tools have been adopted across the enterprise and used by thousands of providers while others are internal to the group.”

“One of the apps that recently has been getting traction is (what we call internally) the CDR Explore — an app that combines our many years of experience doing natural language processing, machine learning, and data visualization of unstructured data to effectively enable providers to review longitudinal clinical notes. Recent pilot studies completed by an external group showed that military admin reviews, disability evaluations, and behavioral screenings can go from several hours of chart reviews to just a few minutes with similar or increased accuracy.”

“In this particular case we use #NLP and clinical ontologies to extract clinical concepts, #ML for clustering of clinical notes and automatic extraction of “flags”, and #datavis techniques to embed different longitudinal attributes into an interactive illustration.” Read the full post here.

Source: Jesus J Caban, PhD (Chief, Clinical & Research Informatics, NICoE, Walter Reed Bethesda) via LinkedIn, January 31, 2021.

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Jackie Gilbert
Jackie Gilbert
Jackie Gilbert is a Content Analyst for FedHealthIT and Author of 'Anything but COVID-19' on the Daily Take Newsletter for G2Xchange Health and FedCiv.

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