The feasibility of AI and machine learning (ML) tools in healthcare settings is up for debate. ChatGPT made headlines after a recent experiment proved it could pass all three parts of the United States Medical Licensing Exam (USMLE). At the same time, experts continue to raise concerns about the tool’s limitations in real-life healthcare situations, as well as its proclivity for inaccuracies and bias.

While clinicians and other medical experts continue to debate ML’s effectiveness for treating patients, they’re neglecting a much more dependable and equally impactful use case: administrative work. ML has tremendous potential to streamline tedious administrative tasks and free up valuable time for clinicians, which ultimately leads to better patient outcomes. However, the effectiveness of AI in reducing administrative workloads hinges on providers’ ability to properly incorporate these tools into their work routines. 

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