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Computing—Routing out the bugs

A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool

A radiologist outfitted with the team’s head-mounted eye-tracking device examines a mammogram. Credit: Hong-Jun Yoon/Oak Ridge National Laboratory, U.S. Dept. of Energy

In an effort to reduce errors in the analyses of diagnostic images by health professionals, a team of researchers from the Department of Energy’s Oak Ridge National Laboratory has improved understanding of the cognitive processes