What type of study is this?

This is a Quantitative Study study (also classified as: Literature Review).

September 20, 2025

Harnessing Generative AI in Nursing Informatics: A Theoretical Critique and Policy Innovation Perspective From Japan.

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Authors

KKKazumi KubotaShowa University MAMiya AishimaShimonoseki City University TFTakanori FujitaKeio University

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Implication

Theoretical critique evaluates generative AI's impact on nursing informatics, illustrating challenges and opportunities related to ethics and education.

Key Points

Generative AI shows potential to improve patient outcomes and service quality in nursing informatics, yet introduces significant challenges.
Findings from a 2023 survey identify obstacles such as low digital literacy and privacy concerns related to AI integration.
Theoretical models, including the technology acceptance model, inform the analysis of AI's role in transforming healthcare.
Robust governance and ethical oversight are necessary for effective integration of generative AI into nursing practice.

Cite This Study

Kubota et al. (2025) studied this question.

synapsesocial.com/papers/68d46abb31b076d99fa67f2f https://doi.org/10.1111/inr.70108

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Implication

Theoretical critique evaluates generative AI's impact on nursing informatics, illustrating challenges and opportunities related to ethics and education.

Harnessing Generative AI in Nursing Informatics: A Theoretical Critique and Policy Innovation Perspective From Japan.

Discussion

Member takes

Implication

Key Points

Cite This Study

Harnessing Generative AI in Nursing Informatics: A Theoretical Critique and Policy Innovation Perspective From Japan.

Discussion

Member takes

Implication

Key Points

Cite This Study

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