(Medical University of South Carolina) The National Academy of Medicine has called for physicians to document social isolation in the electronic health record (EHR), because it can affect health outcomes. However, social isolation cannot be entered as coded data in current EHRs but only mentioned in clinical notes, which have historically been unintelligible to computers. Medical University of South Carolina investigators have trained natural language processing software to search clinical notes and identify socially isolated patients with 90% accuracy.
from EurekAlert! - Technology, Engineering and Computer Science http://bit.ly/30nzxAT
Friday, May 17, 2019
Improving health outcomes with a little help from our friends -- and artificial intelligence
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