AI in Healthcare October 7, 2021
Contrary to intuitive expectations, many errors in drug ordering are caused or worsened by the intricacies of the EHR. These problems often stem from mistakes made at the point of the clinician–computer interface.
To avert the resulting risk, researchers have designed an AI-based system that can flag errors going just by the ordering clinician’s behavior and the context in which it occurs.
The innovation may not only reduce prescription-drug errors but also relieve pharmacists’ workloads while better ensuring patient privacy and security, the team suggests.
The work was carried out at New York University and is described in a study published Oct. 5 in JAMIA Open.
To build and test their system, Martina Balestra, PhD, of NYU’s Center for Urban...
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