AI in Healthcare January 21, 2025
Integrating AI into the electronic medical record can make patient data more usable and dependable for end-users, according to a review of the relevant scientific literature published this month in the American Journal of Clinical and Medical Research.
What’s more, by applying machine-learning algorithms to EHR data-entry processes, provider organizations can relieve clinicians of manual tasks while maximizing clinical precision and facilitating process standardization.
These are among the conclusions of researchers at the University of Piraeus in Greece. Public health economist Dimitris Karaferis, PhD, and colleagues further note that, when properly applied within the EHR, such algorithms can intelligently autofill patient information, suggest relevant medical codes and even flag potential errors or omissions in real time.
“AI can...
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