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Navigating the intersection of clinical and artificial intelligence in nurse practitioner practice
Martha M Whitfield1, Md Habibor Rahman2, Kristopher Jackson1
1Community Nursing Department, College of Nursing and Health Sciences, University of Massachusetts Dartmouth, North Dartmouth, Massachusetts.
Abstract:
This reflective commentary is a response to a recent publication in Artificial Intelligence (AI), Computer Science, and Robotics Technology, which evaluated ChatGPT's performance on nurse practitioner (NP) certification examination questions. The provocative framing questioning whether AI nurse practitioners may become a reality prompted this critical reflection on what truly defines NP expertise, particularly in an era of expanding AI capabilities. Our response challenges the notion that correct examination answers alone constitute clinical readiness and instead highlights the depth of contextual judgment, human connection, and advanced clinical reasoning-the capability we term clinical intelligence-that nurse practitioners uniquely bring to patient care. Although AI literacy is a growing part of essential NP knowledge, caution is needed around any assertion that large language models like ChatGPT can replicate or replace nursing roles of any kind.
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