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TL;DR
It discusses opportunities like improving efficiency and patient experience, alongside significant risks such as bias, cost, and environmental impact.
JMIR Aging · 2 authors, 2 centres
This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.
It discusses opportunities like improving efficiency and patient experience, alongside significant risks such as bias, cost, and environmental impact.
It outlines opportunities, including streamlining EHR tasks, boosting clinical reasoning by synthesizing unstructured data, and enhancing patient experience through virtual assistants and support for social isolation. The review also highlights potential risks, such as model limitations with specialized medical knowledge, sources of bias, high costs, and environmental concerns from resource-intensive computing. The implications are that generative AI could fundamentally change clinical practice if integrated well into workflows, helping manage routine and complex tasks to support high-quality care, though significant limitations and risks must be understood and addressed.