Navigating the intersection of clinical and artificial intelligence in nurse practitioner practice

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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Publication Details

Journal
Journal of the American Association of Nurse Practitioners
Published
2025-08-26
DOI
https://doi.org/10.1097/jxx.0000000000001193
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Navigating the intersection of clinical and artificial intelligence in nurse practitioner practice

Martha M. Whitfield, Kristopher J. Jackson, Md Habibor Rahman
Journal of the American Association of Nurse Practitioners
Artificial Intelligence in Healthcare and Education
article

Navigating the intersection of clinical and artificial intelligence in nurse practitioner practice

Martha M. Whitfield, Kristopher J. Jackson, Md Habibor Rahman
article en

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.

Journal of the American Association of Nurse PractitionersVol. 37(11)
University of Massachusetts Dartmouth (US), PanAmerican Bioinformatics Institute (CO)
Openalex Percentile: Top 84%
Artificial Intelligence in Healthcare and Education
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