Exploring the future of nursing: Insights from the ChatGPT model
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Keywords

ChatGPT
OpenAI
artificial intelligence
future of nursing
robotics
state-of-the-art language processing

How to Cite

Gunawan, J. (2023). Exploring the future of nursing: Insights from the ChatGPT model. Belitung Nursing Journal, 9(1), 1–5. https://doi.org/10.33546/bnj.2551
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Accepted for publication: 2023-01-20
Peer reviewed: Yes

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Abstract

This editorial aims to provide a comprehensive overview of the future of nursing through the lens of the ChatGPT model, a state-of-the-art language processing artificial intelligence (AI) developed by OpenAI. The edited chat transcripts with ChatGPT may offer key trends and developments in nursing, such as the increasing use of technology and digital tools, the integration of AI, and the use of robotics in patient care, as well as insights into the implications of these changes for nurses, patients, and the healthcare system as a whole. However, the future of nursing is continuously evolving. Therefore, nurses need to keep abreast of the latest developments and adapt to them while remaining committed to providing quality care.

https://doi.org/10.33546/bnj.2551
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Copyright

Copyright (c) 2023 Joko Gunawan

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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Declaration of Conflicting Interest

None.

Acknowledgment

The author personally acknowledges OpenAI for creating such an advanced chatbot.

Author’s Contribution

This editorial was generated using OpenAI's ChatGPT language model. It is important to note that the responses provided by the model are generated based on the data it was trained on, and any errors or inaccuracies in the reactions are not the responsibility of OpenAI. JG provided the prompts to guide ChatGPT in generating the texts and added citations/references in line with the contents/texts.

Ethical Consideration

Not applicable.

Data Availability

Not applicable.


References

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Gunawan, J. (2018). There is nothing wrong with being a male nurse. Nursing Science Quarterly, 31(3), 309-309. https://doi.org/10.1177/0894318418774870

Gunawan, J., Marzilli, C., & Aungsuroch, Y. (2022). Sustaining e-caring leadership in a post-pandemic world. Belitung Nursing Journal, 8(1), 1-3. https://doi.org/10.33546/bnj.2039

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Tanioka, T., Betriana, F., Yokotani, T., Osaka, K., Locsin, R. C., King, B., & Schoenhofer, S. (2021). The experience of older persons with mental health conditions who interact with healthcare robots and nurse intermediaries: The qualitative case studies. Belitung Nursing Journal, 7(4), 346-353. https://doi.org/10.33546/bnj.1541

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